Overview

Dataset statistics

Number of variables208
Number of observations17769
Missing cells0
Missing cells (%)0.0%
Total size in memory28.2 MiB
Average record size in memory1.6 KiB

Variable types

Numeric208

Alerts

flg_is_revised_term is highly skewed (γ1 = 38.44476826)Skewed
ape_grp_de05ae is highly skewed (γ1 = 86.59532028)Skewed
ape_grp_6a5788 is highly skewed (γ1 = 29.37932404)Skewed
ape_grp_22decf is highly skewed (γ1 = 31.56011453)Skewed
ape_lh_507c37 is highly skewed (γ1 = 23.75788341)Skewed
ape_inv_e9f316 is highly skewed (γ1 = 61.00351571)Skewed
ape_grp_e04c3a is highly skewed (γ1 = 31.63148208)Skewed
ape_lh_f852af is highly skewed (γ1 = 21.00399161)Skewed
ape_lh_947b15 is highly skewed (γ1 = 61.09178468)Skewed
sumins_grp_de05ae is highly skewed (γ1 = 65.27484539)Skewed
sumins_grp_6a5788 is highly skewed (γ1 = 23.68006293)Skewed
sumins_inv_e9f316 is highly skewed (γ1 = 55.38309653)Skewed
sumins_grp_fe5fb8 is highly skewed (γ1 = 133.3004126)Skewed
prempaid_grp_de05ae is highly skewed (γ1 = 86.59532028)Skewed
prempaid_grp_6a5788 is highly skewed (γ1 = 29.37932404)Skewed
prempaid_grp_22decf is highly skewed (γ1 = 33.07766766)Skewed
prempaid_lh_507c37 is highly skewed (γ1 = 25.83220982)Skewed
prempaid_inv_e9f316 is highly skewed (γ1 = 61.00351571)Skewed
prempaid_grp_e04c3a is highly skewed (γ1 = 32.03666521)Skewed
prempaid_lh_f852af is highly skewed (γ1 = 21.00399161)Skewed
ape_c4bda5 is highly skewed (γ1 = 61.00351571)Skewed
ape_507c37 is highly skewed (γ1 = 57.86983378)Skewed
sumins_c4bda5 is highly skewed (γ1 = 55.38309653)Skewed
sumins_ltc is highly skewed (γ1 = 22.94742542)Skewed
prempaid_c4bda5 is highly skewed (γ1 = 61.00351571)Skewed
n_months_since_lapse_ltc_43b9d5 is highly skewed (γ1 = 21.15504508)Skewed
n_months_since_lapse_inv_e9f316 is highly skewed (γ1 = 56.0453885)Skewed
n_months_since_lapse_lh_947b15 is highly skewed (γ1 = 25.71697447)Skewed
n_months_last_bought_c4bda5 is highly skewed (γ1 = 22.88076815)Skewed
f_ever_bought_grp_de05ae is highly skewed (γ1 = 50.35729436)Skewed
n_months_last_bought_grp_de05ae is highly skewed (γ1 = 54.49980299)Skewed
n_months_last_bought_grp_6a5788 is highly skewed (γ1 = 23.12848077)Skewed
n_months_last_bought_inv_e9f316 is highly skewed (γ1 = 22.88076815)Skewed
race_desc_Chinese has 7364 (41.4%) zerosZeros
race_desc_Indian has 16931 (95.3%) zerosZeros
race_desc_Malay has 16842 (94.8%) zerosZeros
clttype_G has 14462 (81.4%) zerosZeros
clttype_P has 3312 (18.6%) zerosZeros
stat_flag_ACTIVE has 765 (4.3%) zerosZeros
stat_flag_LAPSED has 17016 (95.8%) zerosZeros
cltsex_fix_Male has 8117 (45.7%) zerosZeros
annual_income_est_B.100K-200K has 17044 (95.9%) zerosZeros
annual_income_est_C.60K-100K has 15094 (84.9%) zerosZeros
annual_income_est_D.30K-60K has 15863 (89.3%) zerosZeros
annual_income_est_E.BELOW30K has 10002 (56.3%) zerosZeros
flg_substandard has 17092 (96.2%) zerosZeros
flg_is_borderline_standard has 17209 (96.8%) zerosZeros
flg_is_revised_term has 17757 (99.9%) zerosZeros
flg_is_rental_flat has 17556 (98.8%) zerosZeros
flg_has_health_claim has 16941 (95.3%) zerosZeros
flg_has_life_claim has 17708 (99.7%) zerosZeros
flg_gi_claim has 17211 (96.9%) zerosZeros
flg_is_proposal has 17721 (99.7%) zerosZeros
flg_with_preauthorisation has 17629 (99.2%) zerosZeros
flg_is_returned_mail has 17464 (98.3%) zerosZeros
is_consent_to_mail has 12351 (69.5%) zerosZeros
is_consent_to_email has 11320 (63.7%) zerosZeros
is_consent_to_call has 15759 (88.7%) zerosZeros
is_consent_to_sms has 13494 (75.9%) zerosZeros
is_valid_dm has 4667 (26.3%) zerosZeros
is_valid_email has 4301 (24.2%) zerosZeros
is_housewife_retiree has 17715 (99.7%) zerosZeros
is_sg_pr has 1235 (7.0%) zerosZeros
is_class_1_2 has 7830 (44.1%) zerosZeros
is_dependent_in_at_least_1_policy has 16767 (94.4%) zerosZeros
f_ever_declined_la has 16537 (93.1%) zerosZeros
flg_latest_being_lapse has 16040 (90.3%) zerosZeros
flg_latest_being_cancel has 17638 (99.3%) zerosZeros
recency_lapse has 12403 (69.8%) zerosZeros
recency_cancel has 17149 (96.5%) zerosZeros
tot_cancel_pols has 17149 (96.5%) zerosZeros
ape_grp_6fc3e6 has 17407 (98.0%) zerosZeros
ape_grp_de05ae has 17763 (> 99.9%) zerosZeros
ape_grp_945b5a has 16509 (92.9%) zerosZeros
ape_grp_6a5788 has 17659 (99.4%) zerosZeros
ape_ltc_43b9d5 has 14521 (81.7%) zerosZeros
ape_grp_9cdedf has 17277 (97.2%) zerosZeros
ape_grp_1581d7 has 14952 (84.1%) zerosZeros
ape_grp_22decf has 17704 (99.6%) zerosZeros
ape_lh_507c37 has 16830 (94.7%) zerosZeros
ape_lh_839f8a has 17187 (96.7%) zerosZeros
ape_inv_e9f316 has 17696 (99.6%) zerosZeros
ape_grp_caa6ff has 17094 (96.2%) zerosZeros
ape_grp_fd3bfb has 17568 (98.9%) zerosZeros
ape_lh_e22a6a has 15038 (84.6%) zerosZeros
ape_grp_70e1dd has 14227 (80.1%) zerosZeros
ape_grp_e04c3a has 17626 (99.2%) zerosZeros
ape_grp_fe5fb8 has 16636 (93.6%) zerosZeros
ape_grp_94baec has 16747 (94.2%) zerosZeros
ape_grp_e91421 has 17515 (98.6%) zerosZeros
ape_lh_f852af has 16454 (92.6%) zerosZeros
ape_lh_947b15 has 16317 (91.8%) zerosZeros
sumins_grp_6fc3e6 has 17313 (97.4%) zerosZeros
sumins_grp_de05ae has 17763 (> 99.9%) zerosZeros
sumins_grp_945b5a has 16489 (92.8%) zerosZeros
sumins_grp_6a5788 has 17655 (99.4%) zerosZeros
sumins_ltc_43b9d5 has 14521 (81.7%) zerosZeros
sumins_grp_9cdedf has 17273 (97.2%) zerosZeros
sumins_grp_1581d7 has 14821 (83.4%) zerosZeros
sumins_lh_507c37 has 16938 (95.3%) zerosZeros
sumins_inv_e9f316 has 17735 (99.8%) zerosZeros
sumins_grp_caa6ff has 17094 (96.2%) zerosZeros
sumins_grp_fd3bfb has 17568 (98.9%) zerosZeros
sumins_grp_70e1dd has 13585 (76.5%) zerosZeros
sumins_grp_fe5fb8 has 17768 (> 99.9%) zerosZeros
sumins_grp_e91421 has 17509 (98.5%) zerosZeros
sumins_lh_f852af has 16454 (92.6%) zerosZeros
sumins_lh_947b15 has 16315 (91.8%) zerosZeros
prempaid_grp_6fc3e6 has 17407 (98.0%) zerosZeros
prempaid_grp_de05ae has 17763 (> 99.9%) zerosZeros
prempaid_grp_945b5a has 16509 (92.9%) zerosZeros
prempaid_grp_6a5788 has 17659 (99.4%) zerosZeros
prempaid_ltc_43b9d5 has 14521 (81.7%) zerosZeros
prempaid_grp_9cdedf has 17277 (97.2%) zerosZeros
prempaid_grp_1581d7 has 14952 (84.1%) zerosZeros
prempaid_grp_22decf has 17704 (99.6%) zerosZeros
prempaid_lh_507c37 has 16830 (94.7%) zerosZeros
prempaid_lh_839f8a has 17187 (96.7%) zerosZeros
prempaid_inv_e9f316 has 17696 (99.6%) zerosZeros
prempaid_grp_caa6ff has 17094 (96.2%) zerosZeros
prempaid_grp_fd3bfb has 17568 (98.9%) zerosZeros
prempaid_lh_e22a6a has 15038 (84.6%) zerosZeros
prempaid_grp_70e1dd has 14227 (80.1%) zerosZeros
prempaid_grp_e04c3a has 17626 (99.2%) zerosZeros
prempaid_grp_fe5fb8 has 16636 (93.6%) zerosZeros
prempaid_grp_94baec has 16747 (94.2%) zerosZeros
prempaid_grp_e91421 has 17515 (98.6%) zerosZeros
prempaid_lh_f852af has 16454 (92.6%) zerosZeros
prempaid_lh_947b15 has 16317 (91.8%) zerosZeros
ape_839f8a has 15828 (89.1%) zerosZeros
ape_e22a6a has 14077 (79.2%) zerosZeros
ape_c4bda5 has 17696 (99.6%) zerosZeros
ape_ltc has 14427 (81.2%) zerosZeros
ape_507c37 has 11652 (65.6%) zerosZeros
f_hold_839f8a has 15828 (89.1%) zerosZeros
f_hold_e22a6a has 14077 (79.2%) zerosZeros
f_hold_c4bda5 has 17696 (99.6%) zerosZeros
f_hold_ltc has 14427 (81.2%) zerosZeros
f_hold_507c37 has 11652 (65.6%) zerosZeros
sumins_839f8a has 15806 (89.0%) zerosZeros
sumins_c4bda5 has 17735 (99.8%) zerosZeros
sumins_ltc has 14423 (81.2%) zerosZeros
sumins_507c37 has 11413 (64.2%) zerosZeros
prempaid_839f8a has 15828 (89.1%) zerosZeros
prempaid_e22a6a has 14077 (79.2%) zerosZeros
prempaid_c4bda5 has 17696 (99.6%) zerosZeros
prempaid_ltc has 14427 (81.2%) zerosZeros
prempaid_507c37 has 11652 (65.6%) zerosZeros
n_months_since_lapse_grp_6fc3e6 has 17719 (99.7%) zerosZeros
n_months_since_lapse_grp_de05ae has 17763 (> 99.9%) zerosZeros
n_months_since_lapse_grp_945b5a has 17562 (98.8%) zerosZeros
n_months_since_lapse_grp_6a5788 has 17727 (99.8%) zerosZeros
n_months_since_lapse_ltc_43b9d5 has 17691 (99.6%) zerosZeros
n_months_since_lapse_grp_9cdedf has 17698 (99.6%) zerosZeros
n_months_since_lapse_grp_1581d7 has 17237 (97.0%) zerosZeros
n_months_since_lapse_grp_22decf has 17650 (99.3%) zerosZeros
n_months_since_lapse_lh_507c37 has 17289 (97.3%) zerosZeros
n_months_since_lapse_lh_839f8a has 17663 (99.4%) zerosZeros
n_months_since_lapse_inv_e9f316 has 17748 (99.9%) zerosZeros
n_months_since_lapse_grp_caa6ff has 17655 (99.4%) zerosZeros
n_months_since_lapse_grp_fd3bfb has 17728 (99.8%) zerosZeros
n_months_since_lapse_lh_e22a6a has 16555 (93.2%) zerosZeros
n_months_since_lapse_grp_70e1dd has 17147 (96.5%) zerosZeros
n_months_since_lapse_grp_e04c3a has 17589 (99.0%) zerosZeros
n_months_since_lapse_grp_fe5fb8 has 16994 (95.6%) zerosZeros
n_months_since_lapse_grp_94baec has 17225 (96.9%) zerosZeros
n_months_since_lapse_grp_e91421 has 17710 (99.7%) zerosZeros
n_months_since_lapse_lh_f852af has 17484 (98.4%) zerosZeros
n_months_since_lapse_lh_947b15 has 17660 (99.4%) zerosZeros
f_ever_bought_839f8a has 15634 (88.0%) zerosZeros
f_ever_bought_e22a6a has 13170 (74.1%) zerosZeros
f_ever_bought_c4bda5 has 17692 (99.6%) zerosZeros
f_ever_bought_ltc has 14365 (80.8%) zerosZeros
f_ever_bought_507c37 has 10825 (60.9%) zerosZeros
f_ever_bought_gi has 15666 (88.2%) zerosZeros
n_months_last_bought_839f8a has 15530 (87.4%) zerosZeros
n_months_last_bought_e22a6a has 12126 (68.2%) zerosZeros
n_months_last_bought_c4bda5 has 17658 (99.4%) zerosZeros
n_months_last_bought_ltc has 14340 (80.7%) zerosZeros
n_months_last_bought_507c37 has 8782 (49.4%) zerosZeros
n_months_last_bought_gi has 15170 (85.4%) zerosZeros
f_ever_bought_grp_6fc3e6 has 17380 (97.8%) zerosZeros
f_ever_bought_grp_de05ae has 17762 (> 99.9%) zerosZeros
f_ever_bought_grp_945b5a has 16373 (92.1%) zerosZeros
f_ever_bought_grp_6a5788 has 17639 (99.3%) zerosZeros
f_ever_bought_ltc_43b9d5 has 14473 (81.5%) zerosZeros
f_ever_bought_grp_9cdedf has 17243 (97.0%) zerosZeros
f_ever_bought_grp_1581d7 has 14623 (82.3%) zerosZeros
f_ever_bought_grp_22decf has 17679 (99.5%) zerosZeros
f_ever_bought_lh_507c37 has 16355 (92.0%) zerosZeros
f_ever_bought_lh_839f8a has 17106 (96.3%) zerosZeros
f_ever_bought_inv_e9f316 has 17692 (99.6%) zerosZeros
f_ever_bought_grp_caa6ff has 17050 (96.0%) zerosZeros
f_ever_bought_grp_fd3bfb has 17554 (98.8%) zerosZeros
f_ever_bought_lh_e22a6a has 14302 (80.5%) zerosZeros
f_ever_bought_grp_70e1dd has 13775 (77.5%) zerosZeros
f_ever_bought_grp_e04c3a has 17587 (99.0%) zerosZeros
f_ever_bought_grp_fe5fb8 has 16336 (91.9%) zerosZeros
f_ever_bought_grp_94baec has 16466 (92.7%) zerosZeros
f_ever_bought_grp_e91421 has 17493 (98.4%) zerosZeros
f_ever_bought_lh_f852af has 16319 (91.8%) zerosZeros
f_ever_bought_lh_947b15 has 16224 (91.3%) zerosZeros
n_months_last_bought_grp_6fc3e6 has 17277 (97.2%) zerosZeros
n_months_last_bought_grp_de05ae has 17757 (99.9%) zerosZeros
n_months_last_bought_grp_945b5a has 16284 (91.6%) zerosZeros
n_months_last_bought_grp_6a5788 has 17612 (99.1%) zerosZeros
n_months_last_bought_ltc_43b9d5 has 14473 (81.5%) zerosZeros
n_months_last_bought_grp_9cdedf has 17221 (96.9%) zerosZeros
n_months_last_bought_grp_1581d7 has 14399 (81.0%) zerosZeros
n_months_last_bought_grp_22decf has 17216 (96.9%) zerosZeros
n_months_last_bought_lh_507c37 has 16354 (92.0%) zerosZeros
n_months_last_bought_lh_839f8a has 17089 (96.2%) zerosZeros
n_months_last_bought_inv_e9f316 has 17658 (99.4%) zerosZeros
n_months_last_bought_grp_caa6ff has 16973 (95.5%) zerosZeros
n_months_last_bought_grp_fd3bfb has 17539 (98.7%) zerosZeros
n_months_last_bought_lh_e22a6a has 14302 (80.5%) zerosZeros
n_months_last_bought_grp_70e1dd has 13085 (73.6%) zerosZeros
n_months_last_bought_grp_e04c3a has 17105 (96.3%) zerosZeros
n_months_last_bought_grp_fe5fb8 has 14604 (82.2%) zerosZeros
n_months_last_bought_grp_94baec has 15323 (86.2%) zerosZeros
n_months_last_bought_grp_e91421 has 17468 (98.3%) zerosZeros
n_months_last_bought_lh_f852af has 16319 (91.8%) zerosZeros
n_months_last_bought_lh_947b15 has 16219 (91.3%) zerosZeros
n_months_last_bought_32c74c has 16424 (92.4%) zerosZeros
f_elx has 13641 (76.8%) zerosZeros
f_mindef_mha has 15250 (85.8%) zerosZeros
f_retail has 4356 (24.5%) zerosZeros
flg_affconnect_show_interest_ever has 17278 (97.2%) zerosZeros
flg_affconnect_ready_to_buy_ever has 16962 (95.5%) zerosZeros
n_months_since_visit_affcon has 17180 (96.7%) zerosZeros
flg_hlthclaim_839f8a_ever has 17484 (98.4%) zerosZeros
flg_hlthclaim_14cb37_ever has 16397 (92.3%) zerosZeros
f_purchase_lh has 17059 (96.0%) zerosZeros

Reproduction

Analysis started2024-01-29 14:30:27.160890
Analysis finished2024-01-29 14:30:28.562241
Duration1.4 second
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

race_desc_Chinese
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5855703754
Minimum0
Maximum1
Zeros7364
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:28.722958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4926371575
Coefficient of variation (CV)0.8412945365
Kurtosis-1.8794996
Mean0.5855703754
Median Absolute Deviation (MAD)0
Skewness-0.3474362685
Sum10405
Variance0.242691369
MonotonicityNot monotonic
2024-01-29T22:30:28.852475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 10405
58.6%
0 7364
41.4%
ValueCountFrequency (%)
0 7364
41.4%
1 10405
58.6%
ValueCountFrequency (%)
1 10405
58.6%
0 7364
41.4%

race_desc_Indian
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04716078564
Minimum0
Maximum1
Zeros16931
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:28.969259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.21198862
Coefficient of variation (CV)4.495018841
Kurtosis16.25846453
Mean0.04716078564
Median Absolute Deviation (MAD)0
Skewness4.272778319
Sum838
Variance0.04493917501
MonotonicityNot monotonic
2024-01-29T22:30:29.086814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16931
95.3%
1 838
 
4.7%
ValueCountFrequency (%)
0 16931
95.3%
1 838
 
4.7%
ValueCountFrequency (%)
1 838
 
4.7%
0 16931
95.3%

race_desc_Malay
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05216950869
Minimum0
Maximum1
Zeros16842
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:29.223991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2223749852
Coefficient of variation (CV)4.262547046
Kurtosis14.2276666
Mean0.05216950869
Median Absolute Deviation (MAD)0
Skewness4.028159035
Sum927
Variance0.04945063403
MonotonicityNot monotonic
2024-01-29T22:30:29.320181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16842
94.8%
1 927
 
5.2%
ValueCountFrequency (%)
0 16842
94.8%
1 927
 
5.2%
ValueCountFrequency (%)
1 927
 
5.2%
0 16842
94.8%

clttype_G
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1861106421
Minimum0
Maximum1
Zeros14462
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:29.416430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3892068808
Coefficient of variation (CV)2.091266122
Kurtosis0.6023232236
Mean0.1861106421
Median Absolute Deviation (MAD)0
Skewness1.613150781
Sum3307
Variance0.1514819961
MonotonicityNot monotonic
2024-01-29T22:30:29.521090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 14462
81.4%
1 3307
 
18.6%
ValueCountFrequency (%)
0 14462
81.4%
1 3307
 
18.6%
ValueCountFrequency (%)
1 3307
 
18.6%
0 14462
81.4%

clttype_P
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8136079689
Minimum0
Maximum1
Zeros3312
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:29.633678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3894336617
Coefficient of variation (CV)0.4786502548
Kurtosis0.5946343628
Mean0.8136079689
Median Absolute Deviation (MAD)0
Skewness-1.610766105
Sum14457
Variance0.1516585768
MonotonicityNot monotonic
2024-01-29T22:30:29.738450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 14457
81.4%
0 3312
 
18.6%
ValueCountFrequency (%)
0 3312
 
18.6%
1 14457
81.4%
ValueCountFrequency (%)
1 14457
81.4%
0 3312
 
18.6%

stat_flag_ACTIVE
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9569474928
Minimum0
Maximum1
Zeros765
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:29.834256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2029810521
Coefficient of variation (CV)0.2121130508
Kurtosis18.27792084
Mean0.9569474928
Median Absolute Deviation (MAD)0
Skewness-4.502872813
Sum17004
Variance0.04120130752
MonotonicityNot monotonic
2024-01-29T22:30:29.938847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 17004
95.7%
0 765
 
4.3%
ValueCountFrequency (%)
0 765
 
4.3%
1 17004
95.7%
ValueCountFrequency (%)
1 17004
95.7%
0 765
 
4.3%

stat_flag_LAPSED
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04237717373
Minimum0
Maximum1
Zeros17016
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:30.034700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2014537983
Coefficient of variation (CV)4.753828076
Kurtosis18.64744645
Mean0.04237717373
Median Absolute Deviation (MAD)0
Skewness4.543715175
Sum753
Variance0.04058363283
MonotonicityNot monotonic
2024-01-29T22:30:30.140311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17016
95.8%
1 753
 
4.2%
ValueCountFrequency (%)
0 17016
95.8%
1 753
 
4.2%
ValueCountFrequency (%)
1 753
 
4.2%
0 17016
95.8%

cltsex_fix_Male
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5431932016
Minimum0
Maximum1
Zeros8117
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:30.236749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4981448711
Coefficient of variation (CV)0.9170675729
Kurtosis-1.970141805
Mean0.5431932016
Median Absolute Deviation (MAD)0
Skewness-0.1734357466
Sum9652
Variance0.2481483126
MonotonicityNot monotonic
2024-01-29T22:30:30.341446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 9652
54.3%
0 8117
45.7%
ValueCountFrequency (%)
0 8117
45.7%
1 9652
54.3%
ValueCountFrequency (%)
1 9652
54.3%
0 8117
45.7%

annual_income_est_B.100K-200K
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04080139569
Minimum0
Maximum1
Zeros17044
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:30.445985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1978353974
Coefficient of variation (CV)4.848740932
Kurtosis19.55734291
Mean0.04080139569
Median Absolute Deviation (MAD)0
Skewness4.642751516
Sum725
Variance0.03913884445
MonotonicityNot monotonic
2024-01-29T22:30:30.550375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17044
95.9%
1 725
 
4.1%
ValueCountFrequency (%)
0 17044
95.9%
1 725
 
4.1%
ValueCountFrequency (%)
1 725
 
4.1%
0 17044
95.9%

annual_income_est_C.60K-100K
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1505430806
Minimum0
Maximum1
Zeros15094
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:30.655492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3576130013
Coefficient of variation (CV)2.375486139
Kurtosis1.820689489
Mean0.1505430806
Median Absolute Deviation (MAD)0
Skewness1.954605989
Sum2675
Variance0.1278870587
MonotonicityNot monotonic
2024-01-29T22:30:30.760832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 15094
84.9%
1 2675
 
15.1%
ValueCountFrequency (%)
0 15094
84.9%
1 2675
 
15.1%
ValueCountFrequency (%)
1 2675
 
15.1%
0 15094
84.9%

annual_income_est_D.30K-60K
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1072654623
Minimum0
Maximum1
Zeros15863
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:30.857201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.309459161
Coefficient of variation (CV)2.884984172
Kurtosis4.444407241
Mean0.1072654623
Median Absolute Deviation (MAD)0
Skewness2.53848518
Sum1906
Variance0.09576497236
MonotonicityNot monotonic
2024-01-29T22:30:30.961261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 15863
89.3%
1 1906
 
10.7%
ValueCountFrequency (%)
0 15863
89.3%
1 1906
 
10.7%
ValueCountFrequency (%)
1 1906
 
10.7%
0 15863
89.3%

annual_income_est_E.BELOW30K
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4371095729
Minimum0
Maximum1
Zeros10002
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:31.057623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4960429838
Coefficient of variation (CV)1.134825258
Kurtosis-1.935906471
Mean0.4371095729
Median Absolute Deviation (MAD)0
Skewness0.2535970013
Sum7767
Variance0.2460586418
MonotonicityNot monotonic
2024-01-29T22:30:31.161732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 10002
56.3%
1 7767
43.7%
ValueCountFrequency (%)
0 10002
56.3%
1 7767
43.7%
ValueCountFrequency (%)
1 7767
43.7%
0 10002
56.3%

min_occ_date
Real number (ℝ)

Distinct54
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.723564
Minimum1959
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:31.282368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1959
5-th percentile2003
Q12010
median2016
Q32020
95-th percentile2023
Maximum2023
Range64
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.100797654
Coefficient of variation (CV)0.003524452576
Kurtosis2.688817582
Mean2014.723564
Median Absolute Deviation (MAD)5
Skewness-1.263059386
Sum35799623
Variance50.42132733
MonotonicityNot monotonic
2024-01-29T22:30:31.887153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2023 2000
 
11.3%
2022 1432
 
8.1%
2020 1283
 
7.2%
2016 1146
 
6.4%
2015 1078
 
6.1%
2018 938
 
5.3%
2019 878
 
4.9%
2021 858
 
4.8%
2017 794
 
4.5%
2014 767
 
4.3%
Other values (44) 6595
37.1%
ValueCountFrequency (%)
1959 1
< 0.1%
1962 1
< 0.1%
1968 1
< 0.1%
1971 1
< 0.1%
1972 1
< 0.1%
ValueCountFrequency (%)
2023 2000
11.3%
2022 1432
8.1%
2021 858
4.8%
2020 1283
7.2%
2019 878
4.9%

cltdob_fix
Real number (ℝ)

Distinct82
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.55045304
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:32.023504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile27
Q136
median45
Q354
95-th percentile67
Maximum100
Range90
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.40080638
Coefficient of variation (CV)0.2722433159
Kurtosis-0.4624698916
Mean45.55045304
Median Absolute Deviation (MAD)9
Skewness0.322077637
Sum809386
Variance153.7799988
MonotonicityNot monotonic
2024-01-29T22:30:32.151937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 569
 
3.2%
36 552
 
3.1%
48 535
 
3.0%
35 519
 
2.9%
51 514
 
2.9%
39 510
 
2.9%
45 509
 
2.9%
52 498
 
2.8%
40 496
 
2.8%
46 495
 
2.8%
Other values (72) 12572
70.8%
ValueCountFrequency (%)
10 2
< 0.1%
11 3
< 0.1%
12 2
< 0.1%
15 2
< 0.1%
18 3
< 0.1%
ValueCountFrequency (%)
100 1
< 0.1%
97 1
< 0.1%
94 2
< 0.1%
93 1
< 0.1%
91 1
< 0.1%

flg_substandard
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03810006191
Minimum0
Maximum1
Zeros17092
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:32.265477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1914432287
Coefficient of variation (CV)5.024748493
Kurtosis21.29261437
Mean0.03810006191
Median Absolute Deviation (MAD)0
Skewness4.825993968
Sum677
Variance0.0366505098
MonotonicityNot monotonic
2024-01-29T22:30:32.369805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17092
96.2%
1 677
 
3.8%
ValueCountFrequency (%)
0 17092
96.2%
1 677
 
3.8%
ValueCountFrequency (%)
1 677
 
3.8%
0 17092
96.2%

flg_is_borderline_standard
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03151556081
Minimum0
Maximum1
Zeros17209
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:32.474694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1747113278
Coefficient of variation (CV)5.543652828
Kurtosis26.77076831
Mean0.03151556081
Median Absolute Deviation (MAD)0
Skewness5.363558065
Sum560
Variance0.03052404806
MonotonicityNot monotonic
2024-01-29T22:30:32.579146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17209
96.8%
1 560
 
3.2%
ValueCountFrequency (%)
0 17209
96.8%
1 560
 
3.2%
ValueCountFrequency (%)
1 560
 
3.2%
0 17209
96.8%

flg_is_revised_term
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0006753334459
Minimum0
Maximum1
Zeros17757
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:32.687663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02597913304
Coefficient of variation (CV)38.46860124
Kurtosis1476.166358
Mean0.0006753334459
Median Absolute Deviation (MAD)0
Skewness38.44476826
Sum12
Variance0.0006749153534
MonotonicityNot monotonic
2024-01-29T22:30:32.788664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17757
99.9%
1 12
 
0.1%
ValueCountFrequency (%)
0 17757
99.9%
1 12
 
0.1%
ValueCountFrequency (%)
1 12
 
0.1%
0 17757
99.9%

flg_is_rental_flat
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01198716866
Minimum0
Maximum1
Zeros17556
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:32.893768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1088307999
Coefficient of variation (CV)9.078941239
Kurtosis78.45708068
Mean0.01198716866
Median Absolute Deviation (MAD)0
Skewness8.969294839
Sum213
Variance0.01184414301
MonotonicityNot monotonic
2024-01-29T22:30:32.990082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17556
98.8%
1 213
 
1.2%
ValueCountFrequency (%)
0 17556
98.8%
1 213
 
1.2%
ValueCountFrequency (%)
1 213
 
1.2%
0 17556
98.8%

flg_has_health_claim
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04659800777
Minimum0
Maximum1
Zeros16941
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:33.095106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2107821952
Coefficient of variation (CV)4.523416457
Kurtosis16.51400458
Mean0.04659800777
Median Absolute Deviation (MAD)0
Skewness4.302574328
Sum828
Variance0.04442913381
MonotonicityNot monotonic
2024-01-29T22:30:33.191313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16941
95.3%
1 828
 
4.7%
ValueCountFrequency (%)
0 16941
95.3%
1 828
 
4.7%
ValueCountFrequency (%)
1 828
 
4.7%
0 16941
95.3%

flg_has_life_claim
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003432945017
Minimum0
Maximum1
Zeros17708
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:33.295413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05849232814
Coefficient of variation (CV)17.03852752
Kurtosis286.379442
Mean0.003432945017
Median Absolute Deviation (MAD)0
Skewness16.98078939
Sum61
Variance0.003421352451
MonotonicityNot monotonic
2024-01-29T22:30:33.408901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17708
99.7%
1 61
 
0.3%
ValueCountFrequency (%)
0 17708
99.7%
1 61
 
0.3%
ValueCountFrequency (%)
1 61
 
0.3%
0 17708
99.7%

flg_gi_claim
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03140300523
Minimum0
Maximum1
Zeros17211
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:33.505475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1744091981
Coefficient of variation (CV)5.553901508
Kurtosis26.88440917
Mean0.03140300523
Median Absolute Deviation (MAD)0
Skewness5.374140229
Sum558
Variance0.03041856839
MonotonicityNot monotonic
2024-01-29T22:30:33.617805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17211
96.9%
1 558
 
3.1%
ValueCountFrequency (%)
0 17211
96.9%
1 558
 
3.1%
ValueCountFrequency (%)
1 558
 
3.1%
0 17211
96.9%

flg_is_proposal
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002701333784
Minimum0
Maximum1
Zeros17721
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:33.723336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05190557005
Coefficient of variation (CV)19.21479321
Kurtosis365.2933277
Mean0.002701333784
Median Absolute Deviation (MAD)0
Skewness19.16382561
Sum48
Variance0.002694188202
MonotonicityNot monotonic
2024-01-29T22:30:33.827763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17721
99.7%
1 48
 
0.3%
ValueCountFrequency (%)
0 17721
99.7%
1 48
 
0.3%
ValueCountFrequency (%)
1 48
 
0.3%
0 17721
99.7%

flg_with_preauthorisation
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007878890202
Minimum0
Maximum1
Zeros17629
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:33.932588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08841523188
Coefficient of variation (CV)11.22178754
Kurtosis121.9640243
Mean0.007878890202
Median Absolute Deviation (MAD)0
Skewness11.13329675
Sum140
Variance0.007817253229
MonotonicityNot monotonic
2024-01-29T22:30:34.029401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17629
99.2%
1 140
 
0.8%
ValueCountFrequency (%)
0 17629
99.2%
1 140
 
0.8%
ValueCountFrequency (%)
1 140
 
0.8%
0 17629
99.2%

flg_is_returned_mail
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01716472508
Minimum0
Maximum1
Zeros17464
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:34.134057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1298885937
Coefficient of variation (CV)7.567181707
Kurtosis53.29181308
Mean0.01716472508
Median Absolute Deviation (MAD)0
Skewness7.435443148
Sum305
Variance0.01687104676
MonotonicityNot monotonic
2024-01-29T22:30:34.230552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17464
98.3%
1 305
 
1.7%
ValueCountFrequency (%)
0 17464
98.3%
1 305
 
1.7%
ValueCountFrequency (%)
1 305
 
1.7%
0 17464
98.3%

is_consent_to_mail
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3049130508
Minimum0
Maximum1
Zeros12351
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:34.336899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4603835472
Coefficient of variation (CV)1.50988469
Kurtosis-1.281730578
Mean0.3049130508
Median Absolute Deviation (MAD)0
Skewness0.8475928863
Sum5418
Variance0.2119530105
MonotonicityNot monotonic
2024-01-29T22:30:34.423789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 12351
69.5%
1 5418
30.5%
ValueCountFrequency (%)
0 12351
69.5%
1 5418
30.5%
ValueCountFrequency (%)
1 5418
30.5%
0 12351
69.5%

is_consent_to_email
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3629354494
Minimum0
Maximum1
Zeros11320
Zeros (%)63.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:34.520861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4808599816
Coefficient of variation (CV)1.324918749
Kurtosis-1.675123129
Mean0.3629354494
Median Absolute Deviation (MAD)0
Skewness0.5701450942
Sum6449
Variance0.2312263219
MonotonicityNot monotonic
2024-01-29T22:30:34.626313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 11320
63.7%
1 6449
36.3%
ValueCountFrequency (%)
0 11320
63.7%
1 6449
36.3%
ValueCountFrequency (%)
1 6449
36.3%
0 11320
63.7%

is_consent_to_call
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1131183522
Minimum0
Maximum1
Zeros15759
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:34.722939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3167463288
Coefficient of variation (CV)2.800132098
Kurtosis3.969299148
Mean0.1131183522
Median Absolute Deviation (MAD)0
Skewness2.443123491
Sum2010
Variance0.1003282368
MonotonicityNot monotonic
2024-01-29T22:30:34.818229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 15759
88.7%
1 2010
 
11.3%
ValueCountFrequency (%)
0 15759
88.7%
1 2010
 
11.3%
ValueCountFrequency (%)
1 2010
 
11.3%
0 15759
88.7%

is_consent_to_sms
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2405875401
Minimum0
Maximum1
Zeros13494
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:34.918753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4274522879
Coefficient of variation (CV)1.776701685
Kurtosis-0.5265117971
Mean0.2405875401
Median Absolute Deviation (MAD)0
Skewness1.213897639
Sum4275
Variance0.1827154585
MonotonicityNot monotonic
2024-01-29T22:30:35.027001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 13494
75.9%
1 4275
 
24.1%
ValueCountFrequency (%)
0 13494
75.9%
1 4275
 
24.1%
ValueCountFrequency (%)
1 4275
 
24.1%
0 13494
75.9%

is_valid_dm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7373515673
Minimum0
Maximum1
Zeros4667
Zeros (%)26.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:35.124050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4400853702
Coefficient of variation (CV)0.5968460497
Kurtosis-0.8363216038
Mean0.7373515673
Median Absolute Deviation (MAD)0
Skewness-1.078782898
Sum13102
Variance0.1936751331
MonotonicityNot monotonic
2024-01-29T22:30:35.229141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 13102
73.7%
0 4667
 
26.3%
ValueCountFrequency (%)
0 4667
 
26.3%
1 13102
73.7%
ValueCountFrequency (%)
1 13102
73.7%
0 4667
 
26.3%

is_valid_email
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7579492374
Minimum0
Maximum1
Zeros4301
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:35.325165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4283369192
Coefficient of variation (CV)0.5651261299
Kurtosis-0.5491024832
Mean0.7579492374
Median Absolute Deviation (MAD)0
Skewness-1.204557734
Sum13468
Variance0.1834725163
MonotonicityNot monotonic
2024-01-29T22:30:35.429896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 13468
75.8%
0 4301
 
24.2%
ValueCountFrequency (%)
0 4301
 
24.2%
1 13468
75.8%
ValueCountFrequency (%)
1 13468
75.8%
0 4301
 
24.2%

is_housewife_retiree
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003039000507
Minimum0
Maximum1
Zeros17715
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:35.526322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0550448499
Coefficient of variation (CV)18.11281366
Kurtosis324.1501465
Mean0.003039000507
Median Absolute Deviation (MAD)0
Skewness18.05861738
Sum54
Variance0.0030299355
MonotonicityNot monotonic
2024-01-29T22:30:35.639722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17715
99.7%
1 54
 
0.3%
ValueCountFrequency (%)
0 17715
99.7%
1 54
 
0.3%
ValueCountFrequency (%)
1 54
 
0.3%
0 17715
99.7%

is_sg_pr
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9304969329
Minimum0
Maximum1
Zeros1235
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:35.734778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2543148258
Coefficient of variation (CV)0.273310762
Kurtosis9.465549759
Mean0.9304969329
Median Absolute Deviation (MAD)0
Skewness-3.385924448
Sum16534
Variance0.06467603062
MonotonicityNot monotonic
2024-01-29T22:30:35.839127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 16534
93.0%
0 1235
 
7.0%
ValueCountFrequency (%)
0 1235
 
7.0%
1 16534
93.0%
ValueCountFrequency (%)
1 16534
93.0%
0 1235
 
7.0%

is_class_1_2
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5593449266
Minimum0
Maximum1
Zeros7830
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:35.935712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4964796589
Coefficient of variation (CV)0.8876091216
Kurtosis-1.94305479
Mean0.5593449266
Median Absolute Deviation (MAD)0
Skewness-0.2390897828
Sum9939
Variance0.2464920517
MonotonicityNot monotonic
2024-01-29T22:30:36.032331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 9939
55.9%
0 7830
44.1%
ValueCountFrequency (%)
0 7830
44.1%
1 9939
55.9%
ValueCountFrequency (%)
1 9939
55.9%
0 7830
44.1%

is_dependent_in_at_least_1_policy
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05639034273
Minimum0
Maximum1
Zeros16767
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:36.128582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2306804429
Coefficient of variation (CV)4.090779231
Kurtosis12.79723154
Mean0.05639034273
Median Absolute Deviation (MAD)0
Skewness3.846529755
Sum1002
Variance0.05321346671
MonotonicityNot monotonic
2024-01-29T22:30:36.219684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16767
94.4%
1 1002
 
5.6%
ValueCountFrequency (%)
0 16767
94.4%
1 1002
 
5.6%
ValueCountFrequency (%)
1 1002
 
5.6%
0 16767
94.4%

f_ever_declined_la
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06933423378
Minimum0
Maximum1
Zeros16537
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:36.322360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2540287965
Coefficient of variation (CV)3.66382929
Kurtosis9.500399962
Mean0.06933423378
Median Absolute Deviation (MAD)0
Skewness3.3910663
Sum1232
Variance0.06453062945
MonotonicityNot monotonic
2024-01-29T22:30:36.425824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16537
93.1%
1 1232
 
6.9%
ValueCountFrequency (%)
0 16537
93.1%
1 1232
 
6.9%
ValueCountFrequency (%)
1 1232
 
6.9%
0 16537
93.1%

hh_20
Real number (ℝ)

Distinct337
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.98283527
Minimum0
Maximum547
Zeros65
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:36.546791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q159
median88
Q3111
95-th percentile197
Maximum547
Range547
Interquartile range (IQR)52

Descriptive statistics

Standard deviation58.10736705
Coefficient of variation (CV)0.6457605706
Kurtosis4.727428629
Mean89.98283527
Median Absolute Deviation (MAD)26
Skewness1.316927721
Sum1598905
Variance3376.466106
MonotonicityNot monotonic
2024-01-29T22:30:36.666966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 2768
 
15.6%
1 1351
 
7.6%
90 207
 
1.2%
84 180
 
1.0%
82 171
 
1.0%
111 165
 
0.9%
85 163
 
0.9%
91 163
 
0.9%
89 163
 
0.9%
108 161
 
0.9%
Other values (327) 12277
69.1%
ValueCountFrequency (%)
0 65
 
0.4%
1 1351
7.6%
2 23
 
0.1%
3 13
 
0.1%
4 18
 
0.1%
ValueCountFrequency (%)
547 3
< 0.1%
537 1
 
< 0.1%
501 1
 
< 0.1%
486 2
< 0.1%
484 1
 
< 0.1%

pop_20
Real number (ℝ)

Distinct870
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297.1209128
Minimum0
Maximum2412
Zeros65
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:36.803350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q1169
median291.5
Q3397
95-th percentile639
Maximum2412
Range2412
Interquartile range (IQR)228

Descriptive statistics

Standard deviation199.6998049
Coefficient of variation (CV)0.6721162876
Kurtosis4.680120444
Mean297.1209128
Median Absolute Deviation (MAD)112.5
Skewness1.179514146
Sum5279541.5
Variance39880.01207
MonotonicityNot monotonic
2024-01-29T22:30:36.940859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
291.5 2609
 
14.7%
3 566
 
3.2%
2 293
 
1.6%
4 254
 
1.4%
1 195
 
1.1%
0 65
 
0.4%
248 58
 
0.3%
5 50
 
0.3%
397 49
 
0.3%
263 48
 
0.3%
Other values (860) 13582
76.4%
ValueCountFrequency (%)
0 65
 
0.4%
1 195
 
1.1%
2 293
1.6%
3 566
3.2%
4 254
1.4%
ValueCountFrequency (%)
2412 1
 
< 0.1%
1869 1
 
< 0.1%
1787 3
< 0.1%
1633 5
< 0.1%
1625 1
 
< 0.1%

hh_size
Real number (ℝ)

Distinct4932
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.240090895
Minimum0
Maximum8
Zeros65
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:37.077740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.45
Q12.77734375
median3.25
Q33.743589744
95-th percentile4.653846154
Maximum8
Range8
Interquartile range (IQR)0.966245994

Descriptive statistics

Standard deviation1.041543717
Coefficient of variation (CV)0.3214550922
Kurtosis4.413772277
Mean3.240090895
Median Absolute Deviation (MAD)0.485294118
Skewness0.818879828
Sum57573.17511
Variance1.084813315
MonotonicityNot monotonic
2024-01-29T22:30:37.223182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.25 2650
 
14.9%
3 675
 
3.8%
1 501
 
2.8%
2 340
 
1.9%
4 287
 
1.6%
8 78
 
0.4%
3.5 65
 
0.4%
0 65
 
0.4%
5 61
 
0.3%
2.5 56
 
0.3%
Other values (4922) 12991
73.1%
ValueCountFrequency (%)
0 65
 
0.4%
1 501
2.8%
1.013157895 1
 
< 0.1%
1.024390244 3
 
< 0.1%
1.025 1
 
< 0.1%
ValueCountFrequency (%)
8 78
0.4%
7.99137931 5
 
< 0.1%
7.989690722 1
 
< 0.1%
7.988888889 1
 
< 0.1%
7.988636364 3
 
< 0.1%

hh_size_est
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.24897293
Minimum0
Maximum5
Zeros65
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:37.343429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.034483771
Coefficient of variation (CV)0.318403321
Kurtosis-0.03359867618
Mean3.24897293
Median Absolute Deviation (MAD)1
Skewness-0.03002603908
Sum57731
Variance1.070156672
MonotonicityNot monotonic
2024-01-29T22:30:37.439758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 8700
49.0%
4 3220
 
18.1%
5 2673
 
15.0%
2 2275
 
12.8%
1 836
 
4.7%
0 65
 
0.4%
ValueCountFrequency (%)
0 65
 
0.4%
1 836
 
4.7%
2 2275
 
12.8%
3 8700
49.0%
4 3220
 
18.1%
ValueCountFrequency (%)
5 2673
 
15.0%
4 3220
 
18.1%
3 8700
49.0%
2 2275
 
12.8%
1 836
 
4.7%
Distinct392
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.77646463
Minimum-4
Maximum785
Zeros25
Zeros (%)0.1%
Negative8
Negative (%)< 0.1%
Memory size138.9 KiB
2024-01-29T22:30:37.551858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile2
Q18
median31
Q374
95-th percentile171.6
Maximum785
Range789
Interquartile range (IQR)66

Descriptive statistics

Standard deviation62.00859229
Coefficient of variation (CV)1.197621211
Kurtosis12.7379945
Mean51.77646463
Median Absolute Deviation (MAD)23
Skewness2.71718414
Sum920016
Variance3845.065518
MonotonicityNot monotonic
2024-01-29T22:30:37.689455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2007
 
11.3%
13 549
 
3.1%
5 495
 
2.8%
2 495
 
2.8%
1 407
 
2.3%
4 358
 
2.0%
11 321
 
1.8%
14 315
 
1.8%
3 313
 
1.8%
6 301
 
1.7%
Other values (382) 12208
68.7%
ValueCountFrequency (%)
-4 2
 
< 0.1%
-3 1
 
< 0.1%
-2 2
 
< 0.1%
-1 3
 
< 0.1%
0 25
0.1%
ValueCountFrequency (%)
785 1
< 0.1%
748 1
< 0.1%
669 1
< 0.1%
638 1
< 0.1%
620 1
< 0.1%

flg_latest_being_lapse
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.097304294
Minimum0
Maximum1
Zeros16040
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:37.809077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2963800126
Coefficient of variation (CV)3.045908874
Kurtosis5.38668505
Mean0.097304294
Median Absolute Deviation (MAD)0
Skewness2.717734123
Sum1729
Variance0.08784111187
MonotonicityNot monotonic
2024-01-29T22:30:37.905304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16040
90.3%
1 1729
 
9.7%
ValueCountFrequency (%)
0 16040
90.3%
1 1729
 
9.7%
ValueCountFrequency (%)
1 1729
 
9.7%
0 16040
90.3%

flg_latest_being_cancel
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007372390118
Minimum0
Maximum1
Zeros17638
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:38.009630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08554793889
Coefficient of variation (CV)11.60382692
Kurtosis130.6857568
Mean0.007372390118
Median Absolute Deviation (MAD)0
Skewness11.51829186
Sum131
Variance0.007318449848
MonotonicityNot monotonic
2024-01-29T22:30:38.131123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17638
99.3%
1 131
 
0.7%
ValueCountFrequency (%)
0 17638
99.3%
1 131
 
0.7%
ValueCountFrequency (%)
1 131
 
0.7%
0 17638
99.3%

recency_lapse
Real number (ℝ)

ZEROS 

Distinct305
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.20383815
Minimum0
Maximum489
Zeros12403
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:38.251498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q316
95-th percentile132
Maximum489
Range489
Interquartile range (IQR)16

Descriptive statistics

Standard deviation49.40348452
Coefficient of variation (CV)2.129108306
Kurtosis9.813954503
Mean23.20383815
Median Absolute Deviation (MAD)0
Skewness2.811367831
Sum412309
Variance2440.704283
MonotonicityNot monotonic
2024-01-29T22:30:38.387537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12403
69.8%
56 117
 
0.7%
50 113
 
0.6%
3 108
 
0.6%
32 94
 
0.5%
4 94
 
0.5%
38 94
 
0.5%
9 83
 
0.5%
5 78
 
0.4%
68 75
 
0.4%
Other values (295) 4510
 
25.4%
ValueCountFrequency (%)
0 12403
69.8%
1 4
 
< 0.1%
2 48
 
0.3%
3 108
 
0.6%
4 94
 
0.5%
ValueCountFrequency (%)
489 1
< 0.1%
487 1
< 0.1%
486 1
< 0.1%
452 1
< 0.1%
432 1
< 0.1%

recency_cancel
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.671787945
Minimum0
Maximum147
Zeros17149
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:38.533467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum147
Range147
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.57540267
Coefficient of variation (CV)6.325803877
Kurtosis56.44806988
Mean1.671787945
Median Absolute Deviation (MAD)0
Skewness7.247154837
Sum29706
Variance111.8391416
MonotonicityNot monotonic
2024-01-29T22:30:38.670203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17149
96.5%
11 41
 
0.2%
13 16
 
0.1%
9 16
 
0.1%
41 15
 
0.1%
3 12
 
0.1%
60 10
 
0.1%
94 10
 
0.1%
72 10
 
0.1%
73 10
 
0.1%
Other values (103) 480
 
2.7%
ValueCountFrequency (%)
0 17149
96.5%
1 4
 
< 0.1%
2 6
 
< 0.1%
3 12
 
0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
147 1
< 0.1%
145 1
< 0.1%
142 1
< 0.1%
135 1
< 0.1%
134 1
< 0.1%

tot_inforce_pols
Real number (ℝ)

Distinct27
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.512352974
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:38.803021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile7
Maximum29
Range28
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.539130263
Coefficient of variation (CV)1.010658251
Kurtosis14.57577722
Mean2.512352974
Median Absolute Deviation (MAD)1
Skewness3.213200104
Sum44642
Variance6.447182492
MonotonicityNot monotonic
2024-01-29T22:30:38.903492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 8518
47.9%
2 3721
20.9%
3 2062
 
11.6%
4 1175
 
6.6%
5 699
 
3.9%
6 466
 
2.6%
7 251
 
1.4%
8 236
 
1.3%
9 151
 
0.8%
10 112
 
0.6%
Other values (17) 378
 
2.1%
ValueCountFrequency (%)
1 8518
47.9%
2 3721
20.9%
3 2062
 
11.6%
4 1175
 
6.6%
5 699
 
3.9%
ValueCountFrequency (%)
29 2
< 0.1%
27 1
 
< 0.1%
26 1
 
< 0.1%
25 2
< 0.1%
23 4
< 0.1%

tot_cancel_pols
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04215206258
Minimum0
Maximum6
Zeros17149
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:39.008300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2460205688
Coefficient of variation (CV)5.836501318
Kurtosis94.80871139
Mean0.04215206258
Median Absolute Deviation (MAD)0
Skewness8.050249568
Sum749
Variance0.06052612028
MonotonicityNot monotonic
2024-01-29T22:30:39.112787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 17149
96.5%
1 525
 
3.0%
2 71
 
0.4%
3 18
 
0.1%
4 4
 
< 0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
0 17149
96.5%
1 525
 
3.0%
2 71
 
0.4%
3 18
 
0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
6 2
 
< 0.1%
4 4
 
< 0.1%
3 18
 
0.1%
2 71
 
0.4%
1 525
3.0%

ape_grp_6fc3e6
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7514604086
Minimum0
Maximum270
Zeros17407
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:39.451429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum270
Range270
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.272497677
Coefficient of variation (CV)9.677818809
Kurtosis281.0703692
Mean0.7514604086
Median Absolute Deviation (MAD)0
Skewness14.46983651
Sum13352.7
Variance52.88922246
MonotonicityNot monotonic
2024-01-29T22:30:39.588399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 17407
98.0%
6 82
 
0.5%
36 80
 
0.5%
12 26
 
0.1%
72 23
 
0.1%
15 19
 
0.1%
18 19
 
0.1%
60 17
 
0.1%
108 16
 
0.1%
24 13
 
0.1%
Other values (29) 67
 
0.4%
ValueCountFrequency (%)
0 17407
98.0%
3 1
 
< 0.1%
3.6 2
 
< 0.1%
6 82
 
0.5%
9 3
 
< 0.1%
ValueCountFrequency (%)
270 1
< 0.1%
180 2
< 0.1%
156 1
< 0.1%
144 2
< 0.1%
123 1
< 0.1%

ape_grp_de05ae
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1760594293
Minimum0
Maximum1274.4
Zeros17763
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:39.684556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1274.4
Range1274.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.16998419
Coefficient of variation (CV)69.12429644
Kurtosis8187.16311
Mean0.1760594293
Median Absolute Deviation (MAD)0
Skewness86.59532028
Sum3128.4
Variance148.1085151
MonotonicityNot monotonic
2024-01-29T22:30:39.796863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 17763
> 99.9%
120 1
 
< 0.1%
238.56 1
 
< 0.1%
360.48 1
 
< 0.1%
1274.4 1
 
< 0.1%
852.72 1
 
< 0.1%
282.24 1
 
< 0.1%
ValueCountFrequency (%)
0 17763
> 99.9%
120 1
 
< 0.1%
238.56 1
 
< 0.1%
282.24 1
 
< 0.1%
360.48 1
 
< 0.1%
ValueCountFrequency (%)
1274.4 1
< 0.1%
852.72 1
< 0.1%
360.48 1
< 0.1%
282.24 1
< 0.1%
238.56 1
< 0.1%

ape_grp_945b5a
Real number (ℝ)

ZEROS 

Distinct281
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.28359109
Minimum0
Maximum6106.8
Zeros16509
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:39.908991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile155.628
Maximum6106.8
Range6106.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation241.6042039
Coefficient of variation (CV)6.150257582
Kurtosis153.0406657
Mean39.28359109
Median Absolute Deviation (MAD)0
Skewness10.82855431
Sum698030.13
Variance58372.59136
MonotonicityNot monotonic
2024-01-29T22:30:40.045480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16509
92.9%
756 99
 
0.6%
50 64
 
0.4%
453.6 62
 
0.3%
216 48
 
0.3%
155.4 44
 
0.2%
432 41
 
0.2%
648 39
 
0.2%
88.8 37
 
0.2%
310.8 37
 
0.2%
Other values (271) 789
 
4.4%
ValueCountFrequency (%)
0 16509
92.9%
15 1
 
< 0.1%
19 1
 
< 0.1%
25 3
 
< 0.1%
26.64 1
 
< 0.1%
ValueCountFrequency (%)
6106.8 1
 
< 0.1%
5234.4 2
 
< 0.1%
4384.8 5
< 0.1%
4362 2
 
< 0.1%
3758.4 5
< 0.1%

ape_grp_6a5788
Real number (ℝ)

SKEWED  ZEROS 

Distinct94
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.35721425
Minimum0
Maximum4192.96
Zeros17659
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:40.174642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4192.96
Range4192.96
Interquartile range (IQR)0

Descriptive statistics

Standard deviation78.29929109
Coefficient of variation (CV)17.97003466
Kurtosis1119.604596
Mean4.35721425
Median Absolute Deviation (MAD)0
Skewness29.37932404
Sum77423.34
Variance6130.778985
MonotonicityNot monotonic
2024-01-29T22:30:40.304239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17659
99.4%
512.5 7
 
< 0.1%
211.8 4
 
< 0.1%
340.2 3
 
< 0.1%
486 3
 
< 0.1%
569.25 2
 
< 0.1%
372 2
 
< 0.1%
56.4 2
 
< 0.1%
1164.72 2
 
< 0.1%
73.06 1
 
< 0.1%
Other values (84) 84
 
0.5%
ValueCountFrequency (%)
0 17659
99.4%
56.37 1
 
< 0.1%
56.4 2
 
< 0.1%
72 1
 
< 0.1%
73.06 1
 
< 0.1%
ValueCountFrequency (%)
4192.96 1
< 0.1%
3390 1
< 0.1%
3261.2 1
< 0.1%
2908.32 1
< 0.1%
2436.13 1
< 0.1%

ape_ltc_43b9d5
Real number (ℝ)

ZEROS 

Distinct421
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.7847375
Minimum0
Maximum6168
Zeros14521
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:40.427062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile557
Maximum6168
Range6168
Interquartile range (IQR)0

Descriptive statistics

Standard deviation251.7657266
Coefficient of variation (CV)2.31434788
Kurtosis32.86318617
Mean108.7847375
Median Absolute Deviation (MAD)0
Skewness3.549216651
Sum1932996
Variance63385.98107
MonotonicityNot monotonic
2024-01-29T22:30:40.562401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14521
81.7%
534 215
 
1.2%
530 165
 
0.9%
554 147
 
0.8%
541 132
 
0.7%
543 111
 
0.6%
525 107
 
0.6%
536 99
 
0.6%
559 88
 
0.5%
551 76
 
0.4%
Other values (411) 2108
 
11.9%
ValueCountFrequency (%)
0 14521
81.7%
277 1
 
< 0.1%
289 1
 
< 0.1%
314 1
 
< 0.1%
329 1
 
< 0.1%
ValueCountFrequency (%)
6168 1
< 0.1%
3833 1
< 0.1%
3248 1
< 0.1%
3146 1
< 0.1%
2945 1
< 0.1%

ape_grp_9cdedf
Real number (ℝ)

ZEROS 

Distinct120
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.455823063
Minimum0
Maximum2544
Zeros17277
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:40.709027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2544
Range2544
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53.97542181
Coefficient of variation (CV)8.360734377
Kurtosis447.9799194
Mean6.455823063
Median Absolute Deviation (MAD)0
Skewness16.22062002
Sum114713.52
Variance2913.34616
MonotonicityNot monotonic
2024-01-29T22:30:40.837686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17277
97.2%
300 90
 
0.5%
75 43
 
0.2%
180 31
 
0.2%
150 31
 
0.2%
90 23
 
0.1%
60 23
 
0.1%
30 20
 
0.1%
240 13
 
0.1%
135 12
 
0.1%
Other values (110) 206
 
1.2%
ValueCountFrequency (%)
0 17277
97.2%
5.63 1
 
< 0.1%
18.6 2
 
< 0.1%
22.5 1
 
< 0.1%
25 3
 
< 0.1%
ValueCountFrequency (%)
2544 1
< 0.1%
1735.2 1
< 0.1%
1272 1
< 0.1%
1200 1
< 0.1%
936 1
< 0.1%

ape_grp_1581d7
Real number (ℝ)

ZEROS 

Distinct269
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.657160786
Minimum0
Maximum1155
Zeros14952
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:40.958355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile36
Maximum1155
Range1155
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.91212893
Coefficient of variation (CV)4.919763347
Kurtosis511.9783715
Mean4.657160786
Median Absolute Deviation (MAD)0
Skewness16.14256223
Sum82753.09
Variance524.9656522
MonotonicityNot monotonic
2024-01-29T22:30:41.096462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14952
84.1%
6 1124
 
6.3%
36 544
 
3.1%
60 109
 
0.6%
18 97
 
0.5%
12 80
 
0.5%
30 69
 
0.4%
24 53
 
0.3%
5.5 49
 
0.3%
1.2 49
 
0.3%
Other values (259) 643
 
3.6%
ValueCountFrequency (%)
0 14952
84.1%
0.6 4
 
< 0.1%
1.2 49
 
0.3%
1.8 3
 
< 0.1%
2.4 10
 
0.1%
ValueCountFrequency (%)
1155 1
< 0.1%
716.93 1
< 0.1%
588.48 2
< 0.1%
393.07 1
< 0.1%
381.15 1
< 0.1%

ape_grp_22decf
Real number (ℝ)

SKEWED  ZEROS 

Distinct55
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.026665541
Minimum0
Maximum5892
Zeros17704
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:41.228120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5892
Range5892
Interquartile range (IQR)0

Descriptive statistics

Standard deviation115.3988996
Coefficient of variation (CV)22.9573459
Kurtosis1179.008189
Mean5.026665541
Median Absolute Deviation (MAD)0
Skewness31.56011453
Sum89318.82
Variance13316.90602
MonotonicityNot monotonic
2024-01-29T22:30:41.360584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17704
99.6%
2164.2 3
 
< 0.1%
52 2
 
< 0.1%
954.9 2
 
< 0.1%
1127.9 2
 
< 0.1%
1824.2 2
 
< 0.1%
381 2
 
< 0.1%
3200.5 2
 
< 0.1%
162 2
 
< 0.1%
2458 2
 
< 0.1%
Other values (45) 46
 
0.3%
ValueCountFrequency (%)
0 17704
99.6%
26 2
 
< 0.1%
40 1
 
< 0.1%
52 2
 
< 0.1%
127 1
 
< 0.1%
ValueCountFrequency (%)
5892 1
< 0.1%
5213.25 1
< 0.1%
4670.2 1
< 0.1%
4395 1
< 0.1%
3975 1
< 0.1%

ape_lh_507c37
Real number (ℝ)

SKEWED  ZEROS 

Distinct531
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.69223929
Minimum0
Maximum28741
Zeros16830
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:41.489126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile157
Maximum28741
Range28741
Interquartile range (IQR)0

Descriptive statistics

Standard deviation575.8521377
Coefficient of variation (CV)8.03227997
Kurtosis919.694801
Mean71.69223929
Median Absolute Deviation (MAD)0
Skewness23.75788341
Sum1273899.4
Variance331605.6845
MonotonicityNot monotonic
2024-01-29T22:30:41.625237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16830
94.7%
396 30
 
0.2%
420 14
 
0.1%
157 13
 
0.1%
780 12
 
0.1%
139 11
 
0.1%
528 11
 
0.1%
540 9
 
0.1%
324 9
 
0.1%
134 8
 
< 0.1%
Other values (521) 822
 
4.6%
ValueCountFrequency (%)
0 16830
94.7%
96 1
 
< 0.1%
111 3
 
< 0.1%
117.6 1
 
< 0.1%
120 2
 
< 0.1%
ValueCountFrequency (%)
28741 1
< 0.1%
27782 1
< 0.1%
24972 1
< 0.1%
12509 1
< 0.1%
11076 1
< 0.1%

ape_lh_839f8a
Real number (ℝ)

ZEROS 

Distinct459
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.71123867
Minimum0
Maximum11928
Zeros17187
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:41.762705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11928
Range11928
Interquartile range (IQR)0

Descriptive statistics

Standard deviation362.6193652
Coefficient of variation (CV)6.627877086
Kurtosis155.5092681
Mean54.71123867
Median Absolute Deviation (MAD)0
Skewness10.12530861
Sum972164
Variance131492.804
MonotonicityNot monotonic
2024-01-29T22:30:41.899092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17187
96.7%
1080 7
 
< 0.1%
624 6
 
< 0.1%
804 5
 
< 0.1%
1932 4
 
< 0.1%
612 4
 
< 0.1%
1272 4
 
< 0.1%
528 4
 
< 0.1%
372 4
 
< 0.1%
1248 4
 
< 0.1%
Other values (449) 540
 
3.0%
ValueCountFrequency (%)
0 17187
96.7%
372 4
 
< 0.1%
376 1
 
< 0.1%
381 1
 
< 0.1%
403 1
 
< 0.1%
ValueCountFrequency (%)
11928 1
< 0.1%
7608 1
< 0.1%
6960 1
< 0.1%
6924 1
< 0.1%
6144 1
< 0.1%

ape_inv_e9f316
Real number (ℝ)

SKEWED  ZEROS 

Distinct41
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.92970904
Minimum0
Maximum150000
Zeros17696
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:42.035915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum150000
Range150000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1730.044899
Coefficient of variation (CV)28.86790085
Kurtosis4608.401478
Mean59.92970904
Median Absolute Deviation (MAD)0
Skewness61.00351571
Sum1064891
Variance2993055.352
MonotonicityNot monotonic
2024-01-29T22:30:42.157095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 17696
99.6%
3600 11
 
0.1%
6000 7
 
< 0.1%
10000 6
 
< 0.1%
12000 5
 
< 0.1%
15000 4
 
< 0.1%
20000 3
 
< 0.1%
30000 3
 
< 0.1%
25000 2
 
< 0.1%
6108 1
 
< 0.1%
Other values (31) 31
 
0.2%
ValueCountFrequency (%)
0 17696
99.6%
1200 1
 
< 0.1%
1800 1
 
< 0.1%
2448 1
 
< 0.1%
2552 1
 
< 0.1%
ValueCountFrequency (%)
150000 1
< 0.1%
120000 1
< 0.1%
60000 1
< 0.1%
40000 1
< 0.1%
34000 1
< 0.1%

ape_grp_caa6ff
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.06090832
Minimum0
Maximum4356
Zeros17094
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:42.293939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4356
Range4356
Interquartile range (IQR)0

Descriptive statistics

Standard deviation118.2202928
Coefficient of variation (CV)6.92930825
Kurtosis267.921187
Mean17.06090832
Median Absolute Deviation (MAD)0
Skewness13.02109465
Sum303155.28
Variance13976.03763
MonotonicityNot monotonic
2024-01-29T22:30:42.430367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17094
96.2%
482.4 168
 
0.9%
160.8 93
 
0.5%
321.6 66
 
0.4%
241.2 39
 
0.2%
151.2 32
 
0.2%
835.2 32
 
0.2%
402 14
 
0.1%
1663.2 14
 
0.1%
804 13
 
0.1%
Other values (88) 204
 
1.1%
ValueCountFrequency (%)
0 17094
96.2%
25.2 1
 
< 0.1%
50.4 9
 
0.1%
51 1
 
< 0.1%
55.68 1
 
< 0.1%
ValueCountFrequency (%)
4356 1
< 0.1%
3630 1
< 0.1%
2736 1
< 0.1%
2682 1
< 0.1%
2649.6 1
< 0.1%

ape_grp_fd3bfb
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.154171872
Minimum0
Maximum2736
Zeros17568
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:42.567274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2736
Range2736
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61.64146696
Coefficient of variation (CV)11.9595288
Kurtosis451.4775515
Mean5.154171872
Median Absolute Deviation (MAD)0
Skewness17.95551349
Sum91584.48
Variance3799.67045
MonotonicityNot monotonic
2024-01-29T22:30:42.695949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17568
98.9%
482.4 23
 
0.1%
160.8 19
 
0.1%
321.6 13
 
0.1%
151.2 12
 
0.1%
100.8 8
 
< 0.1%
278.4 8
 
< 0.1%
784.8 7
 
< 0.1%
556.8 6
 
< 0.1%
804 6
 
< 0.1%
Other values (70) 99
 
0.6%
ValueCountFrequency (%)
0 17568
98.9%
50.4 4
 
< 0.1%
60.6 1
 
< 0.1%
75.6 1
 
< 0.1%
80.4 2
 
< 0.1%
ValueCountFrequency (%)
2736 1
< 0.1%
1818 1
< 0.1%
1704 1
< 0.1%
1648.8 1
< 0.1%
1257.6 1
< 0.1%

ape_lh_e22a6a
Real number (ℝ)

ZEROS 

Distinct1008
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209.1598289
Minimum0
Maximum15444
Zeros15038
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:42.816364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1386
Maximum15444
Range15444
Interquartile range (IQR)0

Descriptive statistics

Standard deviation746.1723496
Coefficient of variation (CV)3.567474469
Kurtosis63.06555072
Mean209.1598289
Median Absolute Deviation (MAD)0
Skewness6.482850049
Sum3716561
Variance556773.1754
MonotonicityNot monotonic
2024-01-29T22:30:42.969064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15038
84.6%
462 69
 
0.4%
437 58
 
0.3%
318 52
 
0.3%
157 48
 
0.3%
292 46
 
0.3%
367 45
 
0.3%
1051 42
 
0.2%
382 36
 
0.2%
449 35
 
0.2%
Other values (998) 2300
 
12.9%
ValueCountFrequency (%)
0 15038
84.6%
65 1
 
< 0.1%
72 1
 
< 0.1%
80 20
 
0.1%
93 28
 
0.2%
ValueCountFrequency (%)
15444 1
< 0.1%
14857 1
< 0.1%
12178 1
< 0.1%
11797 1
< 0.1%
10612 1
< 0.1%

ape_grp_70e1dd
Real number (ℝ)

ZEROS 

Distinct852
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.38878609
Minimum0
Maximum4792.8
Zeros14227
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:43.106097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile300
Maximum4792.8
Range4792.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation178.8423598
Coefficient of variation (CV)4.121856727
Kurtosis194.7710783
Mean43.38878609
Median Absolute Deviation (MAD)0
Skewness11.32388548
Sum770975.34
Variance31984.58967
MonotonicityNot monotonic
2024-01-29T22:30:43.234220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14227
80.1%
300 535
 
3.0%
30 404
 
2.3%
60 204
 
1.1%
90 151
 
0.8%
75 144
 
0.8%
45 143
 
0.8%
150 137
 
0.8%
180 103
 
0.6%
37.56 94
 
0.5%
Other values (842) 1627
 
9.2%
ValueCountFrequency (%)
0 14227
80.1%
3 6
 
< 0.1%
6 46
 
0.3%
8.5 1
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
4792.8 1
< 0.1%
4592 1
< 0.1%
4551.66 1
< 0.1%
4540 1
< 0.1%
3804 1
< 0.1%

ape_grp_e04c3a
Real number (ℝ)

SKEWED  ZEROS 

Distinct96
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.03746863
Minimum0
Maximum13876
Zeros17626
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:43.362815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13876
Range13876
Interquartile range (IQR)0

Descriptive statistics

Standard deviation204.9857574
Coefficient of variation (CV)17.02897542
Kurtosis1505.618742
Mean12.03746863
Median Absolute Deviation (MAD)0
Skewness31.63148208
Sum213893.78
Variance42019.16072
MonotonicityNot monotonic
2024-01-29T22:30:43.499388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17626
99.2%
162 22
 
0.1%
547 5
 
< 0.1%
256 5
 
< 0.1%
1390 4
 
< 0.1%
2577 4
 
< 0.1%
357 3
 
< 0.1%
859 3
 
< 0.1%
781 2
 
< 0.1%
1875.18 2
 
< 0.1%
Other values (86) 93
 
0.5%
ValueCountFrequency (%)
0 17626
99.2%
162 22
 
0.1%
193 1
 
< 0.1%
238 1
 
< 0.1%
256 5
 
< 0.1%
ValueCountFrequency (%)
13876 1
< 0.1%
6960 1
< 0.1%
6106.48 1
< 0.1%
5940 1
< 0.1%
5299.2 2
< 0.1%

ape_grp_fe5fb8
Real number (ℝ)

ZEROS 

Distinct390
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.54444482
Minimum0
Maximum7967.5
Zeros16636
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:43.627508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile317.8
Maximum7967.5
Range7967.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation309.6907216
Coefficient of variation (CV)5.57554806
Kurtosis132.6632538
Mean55.54444482
Median Absolute Deviation (MAD)0
Skewness9.798407717
Sum986969.24
Variance95908.34302
MonotonicityNot monotonic
2024-01-29T22:30:43.989742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16636
93.6%
137.55 40
 
0.2%
235 27
 
0.2%
423 27
 
0.2%
318 26
 
0.1%
695 17
 
0.1%
395 17
 
0.1%
563 16
 
0.1%
585 15
 
0.1%
960 15
 
0.1%
Other values (380) 933
 
5.3%
ValueCountFrequency (%)
0 16636
93.6%
52 7
 
< 0.1%
100 2
 
< 0.1%
114 1
 
< 0.1%
120 1
 
< 0.1%
ValueCountFrequency (%)
7967.5 1
< 0.1%
6288.46 1
< 0.1%
6016.5 1
< 0.1%
5680.54 1
< 0.1%
5546.36 2
< 0.1%

ape_grp_94baec
Real number (ℝ)

ZEROS 

Distinct374
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.47344701
Minimum0
Maximum10726
Zeros16747
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:44.126531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile112
Maximum10726
Range10726
Interquartile range (IQR)0

Descriptive statistics

Standard deviation321.9370953
Coefficient of variation (CV)7.579726109
Kurtosis292.387714
Mean42.47344701
Median Absolute Deviation (MAD)0
Skewness14.52684863
Sum754710.68
Variance103643.4933
MonotonicityNot monotonic
2024-01-29T22:30:44.270626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16747
94.2%
186 30
 
0.2%
157 29
 
0.2%
289 22
 
0.1%
26 20
 
0.1%
166 20
 
0.1%
3255 19
 
0.1%
411 19
 
0.1%
48 17
 
0.1%
196 16
 
0.1%
Other values (364) 830
 
4.7%
ValueCountFrequency (%)
0 16747
94.2%
24 2
 
< 0.1%
26 20
 
0.1%
34 4
 
< 0.1%
38 1
 
< 0.1%
ValueCountFrequency (%)
10726 1
< 0.1%
10297 1
< 0.1%
9309 1
< 0.1%
7364 1
< 0.1%
6485.5 1
< 0.1%

ape_grp_e91421
Real number (ℝ)

ZEROS 

Distinct122
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.61936181
Minimum0
Maximum5234.4
Zeros17515
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:44.390869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5234.4
Range5234.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation137.8091724
Coefficient of variation (CV)11.86030478
Kurtosis409.104456
Mean11.61936181
Median Absolute Deviation (MAD)0
Skewness17.92986124
Sum206464.44
Variance18991.36801
MonotonicityNot monotonic
2024-01-29T22:30:44.527564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17515
98.6%
756 16
 
0.1%
432 15
 
0.1%
216 14
 
0.1%
648 11
 
0.1%
595.2 7
 
< 0.1%
1125.6 7
 
< 0.1%
324 6
 
< 0.1%
52.8 5
 
< 0.1%
1785.6 5
 
< 0.1%
Other values (112) 168
 
0.9%
ValueCountFrequency (%)
0 17515
98.6%
30 1
 
< 0.1%
40 1
 
< 0.1%
49.13 1
 
< 0.1%
49.75 1
 
< 0.1%
ValueCountFrequency (%)
5234.4 1
< 0.1%
4384.8 1
< 0.1%
3758.4 1
< 0.1%
3343.2 1
< 0.1%
3307.2 1
< 0.1%

ape_lh_f852af
Real number (ℝ)

SKEWED  ZEROS 

Distinct943
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.5155912
Minimum0
Maximum51648
Zeros16454
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:44.655829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1272
Maximum51648
Range51648
Interquartile range (IQR)0

Descriptive statistics

Standard deviation778.2281815
Coefficient of variation (CV)5.102613938
Kurtosis1121.435614
Mean152.5155912
Median Absolute Deviation (MAD)0
Skewness21.00399161
Sum2710049.54
Variance605639.1024
MonotonicityNot monotonic
2024-01-29T22:30:44.791698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16454
92.6%
636 7
 
< 0.1%
1752 6
 
< 0.1%
1380 6
 
< 0.1%
1632 6
 
< 0.1%
768 6
 
< 0.1%
1740 6
 
< 0.1%
2028 6
 
< 0.1%
1188 6
 
< 0.1%
684 6
 
< 0.1%
Other values (933) 1260
 
7.1%
ValueCountFrequency (%)
0 16454
92.6%
202 1
 
< 0.1%
204 1
 
< 0.1%
236 1
 
< 0.1%
244 1
 
< 0.1%
ValueCountFrequency (%)
51648 1
< 0.1%
15847 1
< 0.1%
12547 1
< 0.1%
11544 1
< 0.1%
10975 1
< 0.1%

ape_lh_947b15
Real number (ℝ)

SKEWED  ZEROS 

Distinct1208
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean467.5186899
Minimum0
Maximum391118.2
Zeros16317
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:44.935932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2520
Maximum391118.2
Range391118.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3877.449286
Coefficient of variation (CV)8.293677602
Kurtosis5843.535218
Mean467.5186899
Median Absolute Deviation (MAD)0
Skewness61.09178468
Sum8307339.6
Variance15034612.97
MonotonicityNot monotonic
2024-01-29T22:30:45.080942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16317
91.8%
996 7
 
< 0.1%
1224 6
 
< 0.1%
4284 5
 
< 0.1%
1596 5
 
< 0.1%
2940 5
 
< 0.1%
1296 4
 
< 0.1%
1200 4
 
< 0.1%
2784 4
 
< 0.1%
1356 4
 
< 0.1%
Other values (1198) 1408
 
7.9%
ValueCountFrequency (%)
0 16317
91.8%
47 1
 
< 0.1%
51 1
 
< 0.1%
114 1
 
< 0.1%
137 1
 
< 0.1%
ValueCountFrequency (%)
391118.2 1
< 0.1%
85380.6 1
< 0.1%
80073 1
< 0.1%
60110 1
< 0.1%
59981.6 1
< 0.1%

sumins_grp_6fc3e6
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12604.53599
Minimum0
Maximum3000000
Zeros17313
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:45.209377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3000000
Range3000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation118008.2582
Coefficient of variation (CV)9.362364338
Kurtosis216.7396079
Mean12604.53599
Median Absolute Deviation (MAD)0
Skewness13.36320379
Sum223970000
Variance1.392594901 × 1010
MonotonicityNot monotonic
2024-01-29T22:30:45.346810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 17313
97.4%
50000 96
 
0.5%
100000 84
 
0.5%
600000 81
 
0.5%
200000 24
 
0.1%
1200000 23
 
0.1%
300000 20
 
0.1%
250000 19
 
0.1%
1000000 17
 
0.1%
1800000 16
 
0.1%
Other values (27) 76
 
0.4%
ValueCountFrequency (%)
0 17313
97.4%
50000 96
 
0.5%
60000 2
 
< 0.1%
100000 84
 
0.5%
150000 3
 
< 0.1%
ValueCountFrequency (%)
3000000 3
< 0.1%
2600000 1
 
< 0.1%
2400000 2
 
< 0.1%
2050000 1
 
< 0.1%
2000000 5
< 0.1%

sumins_grp_de05ae
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.7334684
Minimum0
Maximum82236
Zeros17763
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:45.459156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum82236
Range82236
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1040.940495
Coefficient of variation (CV)58.69920489
Kurtosis4543.453757
Mean17.7334684
Median Absolute Deviation (MAD)0
Skewness65.27484539
Sum315106
Variance1083557.114
MonotonicityNot monotonic
2024-01-29T22:30:45.556369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 17763
> 99.9%
27000 1
 
< 0.1%
36228 1
 
< 0.1%
34762 1
 
< 0.1%
76080 1
 
< 0.1%
82236 1
 
< 0.1%
58800 1
 
< 0.1%
ValueCountFrequency (%)
0 17763
> 99.9%
27000 1
 
< 0.1%
34762 1
 
< 0.1%
36228 1
 
< 0.1%
58800 1
 
< 0.1%
ValueCountFrequency (%)
82236 1
< 0.1%
76080 1
< 0.1%
58800 1
< 0.1%
36228 1
< 0.1%
34762 1
< 0.1%

sumins_grp_945b5a
Real number (ℝ)

ZEROS 

Distinct143
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26663.17047
Minimum0
Maximum1200000
Zeros16489
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:45.676762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile200000
Maximum1200000
Range1200000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation120061.6066
Coefficient of variation (CV)4.502900613
Kurtosis26.90314067
Mean26663.17047
Median Absolute Deviation (MAD)0
Skewness5.118583369
Sum473777876
Variance1.441478939 × 1010
MonotonicityNot monotonic
2024-01-29T22:30:45.830280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16489
92.8%
700000 283
 
1.6%
200000 178
 
1.0%
50000 128
 
0.7%
400000 113
 
0.6%
600000 108
 
0.6%
300000 63
 
0.4%
100000 58
 
0.3%
60000 47
 
0.3%
500000 46
 
0.3%
Other values (133) 256
 
1.4%
ValueCountFrequency (%)
0 16489
92.8%
10000 3
 
< 0.1%
12060 1
 
< 0.1%
12500 8
 
< 0.1%
12960 1
 
< 0.1%
ValueCountFrequency (%)
1200000 1
 
< 0.1%
1000000 34
0.2%
960000 1
 
< 0.1%
904500 1
 
< 0.1%
800000 2
 
< 0.1%

sumins_grp_6a5788
Real number (ℝ)

SKEWED  ZEROS 

Distinct97
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean562.8303225
Minimum0
Maximum505901
Zeros17655
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:45.966949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum505901
Range505901
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8612.867213
Coefficient of variation (CV)15.30277753
Kurtosis873.2910093
Mean562.8303225
Median Absolute Deviation (MAD)0
Skewness23.68006293
Sum10000932
Variance74181481.63
MonotonicityNot monotonic
2024-01-29T22:30:46.111813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17655
99.4%
125000 8
 
< 0.1%
180000 4
 
< 0.1%
90000 3
 
< 0.1%
12000 2
 
< 0.1%
150000 2
 
< 0.1%
60000 2
 
< 0.1%
24000 2
 
< 0.1%
45000 2
 
< 0.1%
25000 2
 
< 0.1%
Other values (87) 87
 
0.5%
ValueCountFrequency (%)
0 17655
99.4%
8100 1
 
< 0.1%
12000 2
 
< 0.1%
13748 1
 
< 0.1%
17820 1
 
< 0.1%
ValueCountFrequency (%)
505901 1
 
< 0.1%
214920 1
 
< 0.1%
187506 1
 
< 0.1%
180000 4
< 0.1%
175500 1
 
< 0.1%

sumins_ltc_43b9d5
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223.8593055
Minimum0
Maximum5000
Zeros14521
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:46.249038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1400
Maximum5000
Range5000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation522.2728975
Coefficient of variation (CV)2.333040819
Kurtosis7.801823893
Mean223.8593055
Median Absolute Deviation (MAD)0
Skewness2.577247291
Sum3977756
Variance272768.9794
MonotonicityNot monotonic
2024-01-29T22:30:46.386052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14521
81.7%
1200 440
 
2.5%
1500 323
 
1.8%
1000 321
 
1.8%
1100 315
 
1.8%
1400 253
 
1.4%
1300 244
 
1.4%
800 237
 
1.3%
900 165
 
0.9%
700 161
 
0.9%
Other values (45) 789
 
4.4%
ValueCountFrequency (%)
0 14521
81.7%
200 14
 
0.1%
300 27
 
0.2%
400 55
 
0.3%
500 77
 
0.4%
ValueCountFrequency (%)
5000 4
 
< 0.1%
4000 10
0.1%
3605 1
 
< 0.1%
3500 2
 
< 0.1%
3400 3
 
< 0.1%

sumins_grp_9cdedf
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18722.57235
Minimum0
Maximum4000000
Zeros17273
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:46.522288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4000000
Range4000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation146723.1508
Coefficient of variation (CV)7.836698294
Kurtosis169.9189262
Mean18722.57235
Median Absolute Deviation (MAD)0
Skewness11.39200047
Sum332681388
Variance2.152768297 × 1010
MonotonicityNot monotonic
2024-01-29T22:30:46.675118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17273
97.2%
1000000 96
 
0.5%
500000 39
 
0.2%
200000 37
 
0.2%
250000 37
 
0.2%
100000 34
 
0.2%
600000 31
 
0.2%
300000 28
 
0.2%
2000000 14
 
0.1%
800000 14
 
0.1%
Other values (57) 166
 
0.9%
ValueCountFrequency (%)
0 17273
97.2%
12500 1
 
< 0.1%
30000 2
 
< 0.1%
50000 13
 
0.1%
62000 2
 
< 0.1%
ValueCountFrequency (%)
4000000 1
 
< 0.1%
3000000 7
< 0.1%
2800000 2
 
< 0.1%
2200000 1
 
< 0.1%
2000000 14
0.1%

sumins_grp_1581d7
Real number (ℝ)

ZEROS 

Distinct197
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44422.14683
Minimum0
Maximum3300000
Zeros14821
Zeros (%)83.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:46.827081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile305740.8
Maximum3300000
Range3300000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation147389.8187
Coefficient of variation (CV)3.317935517
Kurtosis31.38882501
Mean44422.14683
Median Absolute Deviation (MAD)0
Skewness4.657493139
Sum789337127
Variance2.172375866 × 1010
MonotonicityNot monotonic
2024-01-29T22:30:46.979888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14821
83.4%
100000 1181
 
6.6%
600000 540
 
3.0%
50000 265
 
1.5%
300000 115
 
0.6%
1000000 109
 
0.6%
200000 98
 
0.6%
500000 76
 
0.4%
60000 58
 
0.3%
20000 53
 
0.3%
Other values (187) 453
 
2.5%
ValueCountFrequency (%)
0 14821
83.4%
5000 18
 
0.1%
10000 19
 
0.1%
17448 1
 
< 0.1%
20000 53
 
0.3%
ValueCountFrequency (%)
3300000 1
< 0.1%
1433868 1
< 0.1%
1408905 1
< 0.1%
1320006 1
< 0.1%
1160012 1
< 0.1%

sumins_lh_507c37
Real number (ℝ)

ZEROS 

Distinct388
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19333.01154
Minimum0
Maximum6000000
Zeros16938
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:47.108769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6000000
Range6000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation138597.3129
Coefficient of variation (CV)7.168945853
Kurtosis341.5760806
Mean19333.01154
Median Absolute Deviation (MAD)0
Skewness13.91949658
Sum343528282
Variance1.920921514 × 1010
MonotonicityNot monotonic
2024-01-29T22:30:47.245470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16938
95.3%
1000000 136
 
0.8%
100000 59
 
0.3%
250000 50
 
0.3%
3000 40
 
0.2%
500000 30
 
0.2%
200000 24
 
0.1%
150000 11
 
0.1%
5000 11
 
0.1%
300000 10
 
0.1%
Other values (378) 460
 
2.6%
ValueCountFrequency (%)
0 16938
95.3%
126 1
 
< 0.1%
136 1
 
< 0.1%
186 1
 
< 0.1%
191 1
 
< 0.1%
ValueCountFrequency (%)
6000000 1
< 0.1%
4000000 1
< 0.1%
3803845 1
< 0.1%
3013800 1
< 0.1%
3000000 1
< 0.1%

sumins_inv_e9f316
Real number (ℝ)

SKEWED  ZEROS 

Distinct29
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494.5692695
Minimum0
Maximum1500000
Zeros17735
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:47.373788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1500000
Range1500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20547.18784
Coefficient of variation (CV)41.54562184
Kurtosis3509.063104
Mean494.5692695
Median Absolute Deviation (MAD)0
Skewness55.38309653
Sum8788001.35
Variance422186928.3
MonotonicityNot monotonic
2024-01-29T22:30:47.495183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 17735
99.8%
500 3
 
< 0.1%
700000 2
 
< 0.1%
850 2
 
< 0.1%
300 2
 
< 0.1%
6000 2
 
< 0.1%
1450300 1
 
< 0.1%
300200 1
 
< 0.1%
15000 1
 
< 0.1%
4500 1
 
< 0.1%
Other values (19) 19
 
0.1%
ValueCountFrequency (%)
0 17735
99.8%
200 1
 
< 0.1%
300 2
 
< 0.1%
350 1
 
< 0.1%
500 3
 
< 0.1%
ValueCountFrequency (%)
1500000 1
< 0.1%
1450300 1
< 0.1%
1000000 1
< 0.1%
700000 2
< 0.1%
450200.82 1
< 0.1%

sumins_grp_caa6ff
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16822.21847
Minimum0
Maximum1000000
Zeros17094
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:47.631695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1000000
Range1000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation94464.616
Coefficient of variation (CV)5.615467197
Kurtosis42.85619315
Mean16822.21847
Median Absolute Deviation (MAD)0
Skewness6.312050322
Sum298914000
Variance8923563676
MonotonicityNot monotonic
2024-01-29T22:30:47.760950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 17094
96.2%
600000 256
 
1.4%
200000 137
 
0.8%
400000 93
 
0.5%
300000 65
 
0.4%
500000 36
 
0.2%
1000000 30
 
0.2%
100000 23
 
0.1%
700000 4
 
< 0.1%
50000 4
 
< 0.1%
Other values (19) 27
 
0.2%
ValueCountFrequency (%)
0 17094
96.2%
10000 2
 
< 0.1%
20000 1
 
< 0.1%
30000 1
 
< 0.1%
40000 2
 
< 0.1%
ValueCountFrequency (%)
1000000 30
 
0.2%
960000 1
 
< 0.1%
800000 2
 
< 0.1%
700000 4
 
< 0.1%
600000 256
1.4%

sumins_grp_fd3bfb
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7251.955653
Minimum0
Maximum2800000
Zeros17568
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:47.873433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2800000
Range2800000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation85551.25987
Coefficient of variation (CV)11.79699159
Kurtosis332.8966782
Mean7251.955653
Median Absolute Deviation (MAD)0
Skewness16.43237841
Sum128860000
Variance7319018066
MonotonicityNot monotonic
2024-01-29T22:30:47.985995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 17568
98.9%
600000 48
 
0.3%
200000 40
 
0.2%
400000 26
 
0.1%
1000000 12
 
0.1%
500000 11
 
0.1%
300000 10
 
0.1%
1800000 10
 
0.1%
1200000 10
 
0.1%
800000 8
 
< 0.1%
Other values (15) 26
 
0.1%
ValueCountFrequency (%)
0 17568
98.9%
10000 1
 
< 0.1%
100000 5
 
< 0.1%
200000 40
 
0.2%
250000 2
 
< 0.1%
ValueCountFrequency (%)
2800000 1
 
< 0.1%
2600000 1
 
< 0.1%
2200000 1
 
< 0.1%
2000000 1
 
< 0.1%
1800000 10
0.1%

sumins_grp_70e1dd
Real number (ℝ)

ZEROS 

Distinct647
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77388.19343
Minimum0
Maximum3300000
Zeros13585
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:48.114679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile564162.6
Maximum3300000
Range3300000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation222708.9049
Coefficient of variation (CV)2.877815014
Kurtosis16.63710298
Mean77388.19343
Median Absolute Deviation (MAD)0
Skewness3.76707653
Sum1375110809
Variance4.959925633 × 1010
MonotonicityNot monotonic
2024-01-29T22:30:48.243475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13585
76.5%
1000000 558
 
3.1%
100000 536
 
3.0%
5000 387
 
2.2%
200000 254
 
1.4%
25000 249
 
1.4%
150000 187
 
1.1%
300000 184
 
1.0%
500000 182
 
1.0%
50000 141
 
0.8%
Other values (637) 1506
 
8.5%
ValueCountFrequency (%)
0 13585
76.5%
3636.98 1
 
< 0.1%
5000 387
 
2.2%
8732 1
 
< 0.1%
8784 1
 
< 0.1%
ValueCountFrequency (%)
3300000 1
 
< 0.1%
2722500 1
 
< 0.1%
2285557 1
 
< 0.1%
2000000 3
< 0.1%
1991152 1
 
< 0.1%

sumins_grp_fe5fb8
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.568349373
Minimum0
Maximum27868
Zeros17768
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:48.356306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum27868
Range27868
Interquartile range (IQR)0

Descriptive statistics

Standard deviation209.0616185
Coefficient of variation (CV)133.3004126
Kurtosis17769
Mean1.568349373
Median Absolute Deviation (MAD)0
Skewness133.3004126
Sum27868
Variance43706.76031
MonotonicityNot monotonic
2024-01-29T22:30:48.444860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17768
> 99.9%
27868 1
 
< 0.1%
ValueCountFrequency (%)
0 17768
> 99.9%
27868 1
 
< 0.1%
ValueCountFrequency (%)
27868 1
 
< 0.1%
0 17768
> 99.9%

sumins_grp_e91421
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10298.60994
Minimum0
Maximum3100000
Zeros17509
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:48.549705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3100000
Range3100000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108650.3725
Coefficient of variation (CV)10.55000366
Kurtosis239.6871566
Mean10298.60994
Median Absolute Deviation (MAD)0
Skewness14.15601643
Sum182996000
Variance1.180490345 × 1010
MonotonicityNot monotonic
2024-01-29T22:30:48.678855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 17509
98.5%
700000 33
 
0.2%
200000 33
 
0.2%
400000 32
 
0.2%
600000 30
 
0.2%
1400000 12
 
0.1%
1000000 12
 
0.1%
2100000 10
 
0.1%
800000 9
 
0.1%
50000 9
 
0.1%
Other values (32) 80
 
0.5%
ValueCountFrequency (%)
0 17509
98.5%
7500 2
 
< 0.1%
12500 2
 
< 0.1%
20000 1
 
< 0.1%
25000 3
 
< 0.1%
ValueCountFrequency (%)
3100000 1
 
< 0.1%
2700000 1
 
< 0.1%
2300000 1
 
< 0.1%
2200000 1
 
< 0.1%
2100000 10
0.1%

sumins_lh_f852af
Real number (ℝ)

ZEROS 

Distinct403
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75218.13445
Minimum0
Maximum10000000
Zeros16454
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:49.054986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile746000
Maximum10000000
Range10000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation321121.0011
Coefficient of variation (CV)4.269196564
Kurtosis125.9043939
Mean75218.13445
Median Absolute Deviation (MAD)0
Skewness7.886684175
Sum1336551031
Variance1.031186974 × 1011
MonotonicityNot monotonic
2024-01-29T22:30:49.191769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16454
92.6%
1000000 246
 
1.4%
500000 128
 
0.7%
1100000 127
 
0.7%
600000 67
 
0.4%
550000 33
 
0.2%
1200000 33
 
0.2%
2000000 31
 
0.2%
1150000 22
 
0.1%
1050000 21
 
0.1%
Other values (393) 607
 
3.4%
ValueCountFrequency (%)
0 16454
92.6%
100000 13
 
0.1%
100352 1
 
< 0.1%
100604 1
 
< 0.1%
115000 1
 
< 0.1%
ValueCountFrequency (%)
10000000 1
< 0.1%
8508987 1
< 0.1%
7000000 1
< 0.1%
6000000 1
< 0.1%
5120000 1
< 0.1%

sumins_lh_947b15
Real number (ℝ)

ZEROS 

Distinct329
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11015.47532
Minimum0
Maximum1447000
Zeros16315
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:49.320454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile74600
Maximum1447000
Range1447000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52354.09195
Coefficient of variation (CV)4.752776473
Kurtosis102.6078387
Mean11015.47532
Median Absolute Deviation (MAD)0
Skewness8.235481707
Sum195733981
Variance2740950944
MonotonicityNot monotonic
2024-01-29T22:30:49.458528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16315
91.8%
50000 157
 
0.9%
100000 155
 
0.9%
150000 131
 
0.7%
300000 71
 
0.4%
25000 54
 
0.3%
200000 36
 
0.2%
75000 35
 
0.2%
30000 30
 
0.2%
60000 27
 
0.2%
Other values (319) 758
 
4.3%
ValueCountFrequency (%)
0 16315
91.8%
1175 1
 
< 0.1%
1890 1
 
< 0.1%
5000 2
 
< 0.1%
10000 13
 
0.1%
ValueCountFrequency (%)
1447000 1
< 0.1%
950500 1
< 0.1%
907748 1
< 0.1%
847304 1
< 0.1%
824000 1
< 0.1%

prempaid_grp_6fc3e6
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.82740165
Minimum0
Maximum14310
Zeros17407
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:49.587157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14310
Range14310
Interquartile range (IQR)0

Descriptive statistics

Standard deviation385.4423769
Coefficient of variation (CV)9.677818809
Kurtosis281.0703692
Mean39.82740165
Median Absolute Deviation (MAD)0
Skewness14.46983651
Sum707693.1
Variance148565.8259
MonotonicityNot monotonic
2024-01-29T22:30:49.724101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 17407
98.0%
318 82
 
0.5%
1908 80
 
0.5%
636 26
 
0.1%
3816 23
 
0.1%
795 19
 
0.1%
954 19
 
0.1%
3180 17
 
0.1%
5724 16
 
0.1%
1272 13
 
0.1%
Other values (29) 67
 
0.4%
ValueCountFrequency (%)
0 17407
98.0%
159 1
 
< 0.1%
190.8 2
 
< 0.1%
318 82
 
0.5%
477 3
 
< 0.1%
ValueCountFrequency (%)
14310 1
< 0.1%
9540 2
< 0.1%
8268 1
< 0.1%
7632 2
< 0.1%
6519 1
< 0.1%

prempaid_grp_de05ae
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.331149755
Minimum0
Maximum67543.2
Zeros17763
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:49.828422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum67543.2
Range67543.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation645.0091618
Coefficient of variation (CV)69.12429644
Kurtosis8187.16311
Mean9.331149755
Median Absolute Deviation (MAD)0
Skewness86.59532028
Sum165805.2
Variance416036.8188
MonotonicityNot monotonic
2024-01-29T22:30:49.932455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 17763
> 99.9%
6360 1
 
< 0.1%
12643.68 1
 
< 0.1%
19105.44 1
 
< 0.1%
67543.2 1
 
< 0.1%
45194.16 1
 
< 0.1%
14958.72 1
 
< 0.1%
ValueCountFrequency (%)
0 17763
> 99.9%
6360 1
 
< 0.1%
12643.68 1
 
< 0.1%
14958.72 1
 
< 0.1%
19105.44 1
 
< 0.1%
ValueCountFrequency (%)
67543.2 1
< 0.1%
45194.16 1
< 0.1%
19105.44 1
< 0.1%
14958.72 1
< 0.1%
12643.68 1
< 0.1%

prempaid_grp_945b5a
Real number (ℝ)

ZEROS 

Distinct282
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2069.205446
Minimum0
Maximum323660.4
Zeros16509
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:50.062324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8236.2
Maximum323660.4
Range323660.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12744.61774
Coefficient of variation (CV)6.15918432
Kurtosis154.5246312
Mean2069.205446
Median Absolute Deviation (MAD)0
Skewness10.86641709
Sum36767711.57
Variance162425281.3
MonotonicityNot monotonic
2024-01-29T22:30:50.191147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16509
92.9%
40068 99
 
0.6%
2650 64
 
0.4%
24040.8 62
 
0.3%
11448 48
 
0.3%
8236.2 44
 
0.2%
22896 41
 
0.2%
34344 39
 
0.2%
4706.4 37
 
0.2%
16472.4 37
 
0.2%
Other values (272) 789
 
4.4%
ValueCountFrequency (%)
0 16509
92.9%
27 3
 
< 0.1%
105 1
 
< 0.1%
243.08 1
 
< 0.1%
262.08 1
 
< 0.1%
ValueCountFrequency (%)
323660.4 1
 
< 0.1%
277423.2 2
 
< 0.1%
232394.4 5
< 0.1%
231186 2
 
< 0.1%
199195.2 5
< 0.1%

prempaid_grp_6a5788
Real number (ℝ)

SKEWED  ZEROS 

Distinct94
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.9323552
Minimum0
Maximum222226.88
Zeros17659
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:50.320121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum222226.88
Range222226.88
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4149.862428
Coefficient of variation (CV)17.97003466
Kurtosis1119.604596
Mean230.9323552
Median Absolute Deviation (MAD)0
Skewness29.37932404
Sum4103437.02
Variance17221358.17
MonotonicityNot monotonic
2024-01-29T22:30:50.449429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17659
99.4%
27162.5 7
 
< 0.1%
11225.4 4
 
< 0.1%
18030.6 3
 
< 0.1%
25758 3
 
< 0.1%
30170.25 2
 
< 0.1%
19716 2
 
< 0.1%
2989.2 2
 
< 0.1%
61730.16 2
 
< 0.1%
3872.18 1
 
< 0.1%
Other values (84) 84
 
0.5%
ValueCountFrequency (%)
0 17659
99.4%
2987.61 1
 
< 0.1%
2989.2 2
 
< 0.1%
3816 1
 
< 0.1%
3872.18 1
 
< 0.1%
ValueCountFrequency (%)
222226.88 1
< 0.1%
179670 1
< 0.1%
172843.6 1
< 0.1%
154140.96 1
< 0.1%
129114.89 1
< 0.1%

prempaid_ltc_43b9d5
Real number (ℝ)

ZEROS 

Distinct421
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5765.591086
Minimum0
Maximum326904
Zeros14521
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:50.570770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile29521
Maximum326904
Range326904
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13343.58351
Coefficient of variation (CV)2.31434788
Kurtosis32.86318617
Mean5765.591086
Median Absolute Deviation (MAD)0
Skewness3.549216651
Sum102448788
Variance178051220.8
MonotonicityNot monotonic
2024-01-29T22:30:50.707943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14521
81.7%
28302 215
 
1.2%
28090 165
 
0.9%
29362 147
 
0.8%
28673 132
 
0.7%
28779 111
 
0.6%
27825 107
 
0.6%
28408 99
 
0.6%
29627 88
 
0.5%
29203 76
 
0.4%
Other values (411) 2108
 
11.9%
ValueCountFrequency (%)
0 14521
81.7%
14681 1
 
< 0.1%
15317 1
 
< 0.1%
16642 1
 
< 0.1%
17437 1
 
< 0.1%
ValueCountFrequency (%)
326904 1
< 0.1%
203149 1
< 0.1%
172144 1
< 0.1%
166738 1
< 0.1%
156085 1
< 0.1%

prempaid_grp_9cdedf
Real number (ℝ)

ZEROS 

Distinct121
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341.7928167
Minimum0
Maximum134832
Zeros17277
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:50.844901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum134832
Range134832
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2860.508365
Coefficient of variation (CV)8.369129559
Kurtosis448.1072063
Mean341.7928167
Median Absolute Deviation (MAD)0
Skewness16.22405593
Sum6073316.56
Variance8182508.109
MonotonicityNot monotonic
2024-01-29T22:30:50.981910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17277
97.2%
15900 90
 
0.5%
3975 43
 
0.2%
7950 31
 
0.2%
9540 31
 
0.2%
4770 23
 
0.1%
3180 23
 
0.1%
1590 20
 
0.1%
12720 13
 
0.1%
7155 12
 
0.1%
Other values (111) 206
 
1.2%
ValueCountFrequency (%)
0 17277
97.2%
45 1
 
< 0.1%
80 1
 
< 0.1%
298.39 1
 
< 0.1%
985.8 2
 
< 0.1%
ValueCountFrequency (%)
134832 1
< 0.1%
91965.6 1
< 0.1%
67416 1
< 0.1%
63600 1
< 0.1%
49608 1
< 0.1%

prempaid_grp_1581d7
Real number (ℝ)

ZEROS 

Distinct273
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.3186994
Minimum0
Maximum61215
Zeros14952
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:51.118118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1908
Maximum61215
Range61215
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1193.249486
Coefficient of variation (CV)4.924297997
Kurtosis543.1149505
Mean242.3186994
Median Absolute Deviation (MAD)0
Skewness16.57357323
Sum4305760.97
Variance1423844.336
MonotonicityNot monotonic
2024-01-29T22:30:51.243502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14952
84.1%
318 1124
 
6.3%
1908 544
 
3.1%
3180 109
 
0.6%
954 97
 
0.5%
636 80
 
0.5%
1590 69
 
0.4%
1272 53
 
0.3%
291.5 49
 
0.3%
63.6 49
 
0.3%
Other values (263) 643
 
3.6%
ValueCountFrequency (%)
0 14952
84.1%
12.5 1
 
< 0.1%
14.82 1
 
< 0.1%
21 1
 
< 0.1%
27.71 1
 
< 0.1%
ValueCountFrequency (%)
61215 1
< 0.1%
37997.29 1
< 0.1%
31189.44 2
< 0.1%
20200.95 1
< 0.1%
18895.56 1
< 0.1%

prempaid_grp_22decf
Real number (ℝ)

SKEWED  ZEROS 

Distinct57
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.1899747
Minimum0
Maximum312276
Zeros17704
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:51.375092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum312276
Range312276
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5970.95465
Coefficient of variation (CV)23.96145614
Kurtosis1283.800922
Mean249.1899747
Median Absolute Deviation (MAD)0
Skewness33.07766766
Sum4427856.66
Variance35652299.43
MonotonicityNot monotonic
2024-01-29T22:30:51.505696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17704
99.6%
59778.7 2
 
< 0.1%
50609.7 2
 
< 0.1%
114702.6 2
 
< 0.1%
169626.5 2
 
< 0.1%
2756 2
 
< 0.1%
20193 2
 
< 0.1%
8586 2
 
< 0.1%
1378 2
 
< 0.1%
130274 2
 
< 0.1%
Other values (47) 47
 
0.3%
ValueCountFrequency (%)
0 17704
99.6%
127 1
 
< 0.1%
1378 2
 
< 0.1%
1770 1
 
< 0.1%
1824.2 1
 
< 0.1%
ValueCountFrequency (%)
312276 1
< 0.1%
276302.25 1
< 0.1%
247520.6 1
< 0.1%
232935 1
< 0.1%
210675 1
< 0.1%

prempaid_lh_507c37
Real number (ℝ)

SKEWED  ZEROS 

Distinct531
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3524.996758
Minimum0
Maximum1523273
Zeros16830
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:51.632476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7102
Maximum1523273
Range1523273
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29409.07652
Coefficient of variation (CV)8.343008103
Kurtosis1060.010392
Mean3524.996758
Median Absolute Deviation (MAD)0
Skewness25.83220982
Sum62635667.4
Variance864893781.7
MonotonicityNot monotonic
2024-01-29T22:30:51.778166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16830
94.7%
20988 30
 
0.2%
22260 14
 
0.1%
8321 13
 
0.1%
41340 12
 
0.1%
7367 11
 
0.1%
27984 11
 
0.1%
28620 9
 
0.1%
17172 9
 
0.1%
7102 8
 
< 0.1%
Other values (521) 822
 
4.6%
ValueCountFrequency (%)
0 16830
94.7%
117.6 1
 
< 0.1%
135.6 1
 
< 0.1%
155 1
 
< 0.1%
173.4 1
 
< 0.1%
ValueCountFrequency (%)
1523273 1
< 0.1%
1472446 1
< 0.1%
1323516 1
< 0.1%
662977 1
< 0.1%
587028 1
< 0.1%

prempaid_lh_839f8a
Real number (ℝ)

ZEROS 

Distinct459
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2899.69565
Minimum0
Maximum632184
Zeros17187
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:51.906303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum632184
Range632184
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19218.82635
Coefficient of variation (CV)6.627877086
Kurtosis155.5092681
Mean2899.69565
Median Absolute Deviation (MAD)0
Skewness10.12530861
Sum51524692
Variance369363286.4
MonotonicityNot monotonic
2024-01-29T22:30:52.034484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17187
96.7%
57240 7
 
< 0.1%
33072 6
 
< 0.1%
42612 5
 
< 0.1%
102396 4
 
< 0.1%
32436 4
 
< 0.1%
67416 4
 
< 0.1%
27984 4
 
< 0.1%
19716 4
 
< 0.1%
66144 4
 
< 0.1%
Other values (449) 540
 
3.0%
ValueCountFrequency (%)
0 17187
96.7%
19716 4
 
< 0.1%
19928 1
 
< 0.1%
20193 1
 
< 0.1%
21359 1
 
< 0.1%
ValueCountFrequency (%)
632184 1
< 0.1%
403224 1
< 0.1%
368880 1
< 0.1%
366972 1
< 0.1%
325632 1
< 0.1%

prempaid_inv_e9f316
Real number (ℝ)

SKEWED  ZEROS 

Distinct41
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3176.274579
Minimum0
Maximum7950000
Zeros17696
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:52.155127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7950000
Range7950000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation91692.37963
Coefficient of variation (CV)28.86790085
Kurtosis4608.401478
Mean3176.274579
Median Absolute Deviation (MAD)0
Skewness61.00351571
Sum56439223
Variance8407492483
MonotonicityNot monotonic
2024-01-29T22:30:52.292940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 17696
99.6%
190800 11
 
0.1%
318000 7
 
< 0.1%
530000 6
 
< 0.1%
636000 5
 
< 0.1%
795000 4
 
< 0.1%
1060000 3
 
< 0.1%
1590000 3
 
< 0.1%
1325000 2
 
< 0.1%
323724 1
 
< 0.1%
Other values (31) 31
 
0.2%
ValueCountFrequency (%)
0 17696
99.6%
63600 1
 
< 0.1%
95400 1
 
< 0.1%
129744 1
 
< 0.1%
135256 1
 
< 0.1%
ValueCountFrequency (%)
7950000 1
< 0.1%
6360000 1
< 0.1%
3180000 1
< 0.1%
2120000 1
< 0.1%
1802000 1
< 0.1%

prempaid_grp_caa6ff
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean904.2281411
Minimum0
Maximum230868
Zeros17094
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:52.445682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum230868
Range230868
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6265.675519
Coefficient of variation (CV)6.92930825
Kurtosis267.921187
Mean904.2281411
Median Absolute Deviation (MAD)0
Skewness13.02109465
Sum16067229.84
Variance39258689.7
MonotonicityNot monotonic
2024-01-29T22:30:52.590611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17094
96.2%
25567.2 168
 
0.9%
8522.4 93
 
0.5%
17044.8 66
 
0.4%
12783.6 39
 
0.2%
8013.6 32
 
0.2%
44265.6 32
 
0.2%
21306 14
 
0.1%
88149.6 14
 
0.1%
42612 13
 
0.1%
Other values (88) 204
 
1.1%
ValueCountFrequency (%)
0 17094
96.2%
1335.6 1
 
< 0.1%
2671.2 9
 
0.1%
2703 1
 
< 0.1%
2951.04 1
 
< 0.1%
ValueCountFrequency (%)
230868 1
< 0.1%
192390 1
< 0.1%
145008 1
< 0.1%
142146 1
< 0.1%
140428.8 1
< 0.1%

prempaid_grp_fd3bfb
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.1711092
Minimum0
Maximum145008
Zeros17568
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:52.719483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum145008
Range145008
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3266.997749
Coefficient of variation (CV)11.9595288
Kurtosis451.4775515
Mean273.1711092
Median Absolute Deviation (MAD)0
Skewness17.95551349
Sum4853977.44
Variance10673274.29
MonotonicityNot monotonic
2024-01-29T22:30:52.863964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17568
98.9%
25567.2 23
 
0.1%
8522.4 19
 
0.1%
17044.8 13
 
0.1%
8013.6 12
 
0.1%
5342.4 8
 
< 0.1%
14755.2 8
 
< 0.1%
41594.4 7
 
< 0.1%
29510.4 6
 
< 0.1%
42612 6
 
< 0.1%
Other values (70) 99
 
0.6%
ValueCountFrequency (%)
0 17568
98.9%
2671.2 4
 
< 0.1%
3211.8 1
 
< 0.1%
4006.8 1
 
< 0.1%
4261.2 2
 
< 0.1%
ValueCountFrequency (%)
145008 1
< 0.1%
96354 1
< 0.1%
90312 1
< 0.1%
87386.4 1
< 0.1%
66652.8 1
< 0.1%

prempaid_lh_e22a6a
Real number (ℝ)

ZEROS 

Distinct1008
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11085.47093
Minimum0
Maximum818532
Zeros15038
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:53.008530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile73458
Maximum818532
Range818532
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39547.13453
Coefficient of variation (CV)3.567474469
Kurtosis63.06555072
Mean11085.47093
Median Absolute Deviation (MAD)0
Skewness6.482850049
Sum196977733
Variance1563975850
MonotonicityNot monotonic
2024-01-29T22:30:53.146239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15038
84.6%
24486 69
 
0.4%
23161 58
 
0.3%
16854 52
 
0.3%
8321 48
 
0.3%
15476 46
 
0.3%
19451 45
 
0.3%
55703 42
 
0.2%
20246 36
 
0.2%
23797 35
 
0.2%
Other values (998) 2300
 
12.9%
ValueCountFrequency (%)
0 15038
84.6%
3445 1
 
< 0.1%
3816 1
 
< 0.1%
4240 20
 
0.1%
4929 28
 
0.2%
ValueCountFrequency (%)
818532 1
< 0.1%
787421 1
< 0.1%
645434 1
< 0.1%
625241 1
< 0.1%
562436 1
< 0.1%

prempaid_grp_70e1dd
Real number (ℝ)

ZEROS 

Distinct859
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2255.055865
Minimum0
Maximum254018.4
Zeros14227
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:53.273945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15900
Maximum254018.4
Range254018.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9374.798697
Coefficient of variation (CV)4.157235678
Kurtosis200.1546216
Mean2255.055865
Median Absolute Deviation (MAD)0
Skewness11.46266243
Sum40070087.66
Variance87886850.61
MonotonicityNot monotonic
2024-01-29T22:30:53.410652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14227
80.1%
15900 535
 
3.0%
1590 404
 
2.3%
3180 204
 
1.1%
4770 151
 
0.8%
3975 144
 
0.8%
2385 143
 
0.8%
7950 137
 
0.8%
9540 103
 
0.6%
1990.68 94
 
0.5%
Other values (849) 1627
 
9.2%
ValueCountFrequency (%)
0 14227
80.1%
14 1
 
< 0.1%
15.41 1
 
< 0.1%
27.14 1
 
< 0.1%
35 7
 
< 0.1%
ValueCountFrequency (%)
254018.4 1
< 0.1%
243376 1
< 0.1%
241237.98 1
< 0.1%
240620 1
< 0.1%
201612 1
< 0.1%

prempaid_grp_e04c3a
Real number (ℝ)

SKEWED  ZEROS 

Distinct96
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean623.0404829
Minimum0
Maximum735428
Zeros17626
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:53.539335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum735428
Range735428
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10810.06516
Coefficient of variation (CV)17.35050203
Kurtosis1535.662905
Mean623.0404829
Median Absolute Deviation (MAD)0
Skewness32.03666521
Sum11070806.34
Variance116857508.8
MonotonicityNot monotonic
2024-01-29T22:30:53.925520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17626
99.2%
8586 22
 
0.1%
28991 5
 
< 0.1%
13568 5
 
< 0.1%
73670 4
 
< 0.1%
136581 4
 
< 0.1%
18921 3
 
< 0.1%
45527 3
 
< 0.1%
41393 2
 
< 0.1%
99384.54 2
 
< 0.1%
Other values (86) 93
 
0.5%
ValueCountFrequency (%)
0 17626
99.2%
458 1
 
< 0.1%
1251 1
 
< 0.1%
1668 1
 
< 0.1%
1730 1
 
< 0.1%
ValueCountFrequency (%)
735428 1
< 0.1%
368880 1
< 0.1%
323643.44 1
< 0.1%
314820 1
< 0.1%
280857.6 2
< 0.1%

prempaid_grp_fe5fb8
Real number (ℝ)

ZEROS 

Distinct394
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2769.392634
Minimum0
Maximum422277.5
Zeros16636
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:54.071574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15105
Maximum422277.5
Range422277.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15786.71571
Coefficient of variation (CV)5.700425253
Kurtosis142.2531931
Mean2769.392634
Median Absolute Deviation (MAD)0
Skewness10.12560385
Sum49209337.72
Variance249220392.8
MonotonicityNot monotonic
2024-01-29T22:30:54.199900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16636
93.6%
7290.15 40
 
0.2%
12455 27
 
0.2%
22419 27
 
0.2%
16854 26
 
0.1%
36835 17
 
0.1%
20935 17
 
0.1%
29839 16
 
0.1%
31005 15
 
0.1%
15105 14
 
0.1%
Other values (384) 934
 
5.3%
ValueCountFrequency (%)
0 16636
93.6%
268 1
 
< 0.1%
313.2 1
 
< 0.1%
480 5
 
< 0.1%
497 3
 
< 0.1%
ValueCountFrequency (%)
422277.5 1
< 0.1%
333288.38 1
< 0.1%
301068.62 1
< 0.1%
293957.08 2
< 0.1%
286041 1
< 0.1%

prempaid_grp_94baec
Real number (ℝ)

ZEROS 

Distinct377
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2202.823792
Minimum0
Maximum568478
Zeros16747
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:54.322747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4293
Maximum568478
Range568478
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16984.69562
Coefficient of variation (CV)7.710419543
Kurtosis297.754984
Mean2202.823792
Median Absolute Deviation (MAD)0
Skewness14.69179623
Sum39141975.96
Variance288479885.2
MonotonicityNot monotonic
2024-01-29T22:30:54.457595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16747
94.2%
9858 30
 
0.2%
8321 29
 
0.2%
15317 22
 
0.1%
1378 20
 
0.1%
8798 20
 
0.1%
172515 19
 
0.1%
21783 19
 
0.1%
2544 17
 
0.1%
10388 16
 
0.1%
Other values (367) 830
 
4.7%
ValueCountFrequency (%)
0 16747
94.2%
38 1
 
< 0.1%
116.6 7
 
< 0.1%
124 2
 
< 0.1%
127 3
 
< 0.1%
ValueCountFrequency (%)
568478 1
< 0.1%
545741 1
< 0.1%
493377 1
< 0.1%
390292 1
< 0.1%
343731.5 1
< 0.1%

prempaid_grp_e91421
Real number (ℝ)

ZEROS 

Distinct122
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean615.4164736
Minimum0
Maximum277423.2
Zeros17515
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:54.577714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum277423.2
Range277423.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7303.805995
Coefficient of variation (CV)11.86807034
Kurtosis409.1265621
Mean615.4164736
Median Absolute Deviation (MAD)0
Skewness17.93060816
Sum10935335.32
Variance53345582.01
MonotonicityNot monotonic
2024-01-29T22:30:54.706482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17515
98.6%
40068 16
 
0.1%
22896 15
 
0.1%
11448 14
 
0.1%
34344 11
 
0.1%
31545.6 7
 
< 0.1%
59656.8 7
 
< 0.1%
17172 6
 
< 0.1%
2798.4 5
 
< 0.1%
94636.8 5
 
< 0.1%
Other values (112) 168
 
0.9%
ValueCountFrequency (%)
0 17515
98.6%
50 1
 
< 0.1%
90 1
 
< 0.1%
1590 1
 
< 0.1%
2120 1
 
< 0.1%
ValueCountFrequency (%)
277423.2 1
< 0.1%
232394.4 1
< 0.1%
199195.2 1
< 0.1%
177189.6 1
< 0.1%
175281.6 1
< 0.1%

prempaid_lh_f852af
Real number (ℝ)

SKEWED  ZEROS 

Distinct943
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8083.326334
Minimum0
Maximum2737344
Zeros16454
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:54.826905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile67416
Maximum2737344
Range2737344
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41246.09362
Coefficient of variation (CV)5.102613938
Kurtosis1121.435614
Mean8083.326334
Median Absolute Deviation (MAD)0
Skewness21.00399161
Sum143632625.6
Variance1701240239
MonotonicityNot monotonic
2024-01-29T22:30:54.963712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16454
92.6%
33708 7
 
< 0.1%
92856 6
 
< 0.1%
73140 6
 
< 0.1%
86496 6
 
< 0.1%
40704 6
 
< 0.1%
92220 6
 
< 0.1%
107484 6
 
< 0.1%
62964 6
 
< 0.1%
36252 6
 
< 0.1%
Other values (933) 1260
 
7.1%
ValueCountFrequency (%)
0 16454
92.6%
10706 1
 
< 0.1%
10812 1
 
< 0.1%
12508 1
 
< 0.1%
12932 1
 
< 0.1%
ValueCountFrequency (%)
2737344 1
< 0.1%
839891 1
< 0.1%
664991 1
< 0.1%
611832 1
< 0.1%
581675 1
< 0.1%

prempaid_lh_947b15
Real number (ℝ)

ZEROS 

Distinct1209
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17837.01674
Minimum0
Maximum2356327
Zeros16317
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:55.108524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile116388
Maximum2356327
Range2356327
Interquartile range (IQR)0

Descriptive statistics

Standard deviation91421.91627
Coefficient of variation (CV)5.125403963
Kurtosis128.4199334
Mean17837.01674
Median Absolute Deviation (MAD)0
Skewness9.437045577
Sum316945950.4
Variance8357966775
MonotonicityNot monotonic
2024-01-29T22:30:55.237900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16317
91.8%
52788 7
 
< 0.1%
64872 6
 
< 0.1%
227052 5
 
< 0.1%
84588 5
 
< 0.1%
155820 5
 
< 0.1%
68688 4
 
< 0.1%
63600 4
 
< 0.1%
147552 4
 
< 0.1%
71868 4
 
< 0.1%
Other values (1199) 1408
 
7.9%
ValueCountFrequency (%)
0 16317
91.8%
2491 1
 
< 0.1%
2703 1
 
< 0.1%
3633.1 1
 
< 0.1%
3759.2 1
 
< 0.1%
ValueCountFrequency (%)
2356327 1
< 0.1%
1956283 1
< 0.1%
1953050 1
< 0.1%
1912134 1
< 0.1%
1593445 1
< 0.1%

ape_839f8a
Real number (ℝ)

ZEROS 

Distinct1003
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.8292718
Minimum0
Maximum12114
Zeros15828
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:55.375625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile813.6
Maximum12114
Range12114
Interquartile range (IQR)0

Descriptive statistics

Standard deviation580.2710537
Coefficient of variation (CV)4.539422353
Kurtosis88.90027991
Mean127.8292718
Median Absolute Deviation (MAD)0
Skewness7.886403033
Sum2271398.33
Variance336714.4957
MonotonicityNot monotonic
2024-01-29T22:30:55.504864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15828
89.1%
50 65
 
0.4%
155.4 42
 
0.2%
1238.4 37
 
0.2%
936 28
 
0.2%
793.2 24
 
0.1%
756 24
 
0.1%
369.6 23
 
0.1%
290.4 20
 
0.1%
249.6 20
 
0.1%
Other values (993) 1658
 
9.3%
ValueCountFrequency (%)
0 15828
89.1%
15 1
 
< 0.1%
19 1
 
< 0.1%
25 3
 
< 0.1%
26.64 1
 
< 0.1%
ValueCountFrequency (%)
12114 1
< 0.1%
11928 1
< 0.1%
11384.6 1
< 0.1%
11239.2 1
< 0.1%
9294 1
< 0.1%

ape_e22a6a
Real number (ℝ)

ZEROS 

Distinct1349
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256.6599415
Minimum0
Maximum15444
Zeros14077
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:55.633939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1603
Maximum15444
Range15444
Interquartile range (IQR)0

Descriptive statistics

Standard deviation822.3378685
Coefficient of variation (CV)3.203997725
Kurtosis49.65612665
Mean256.6599415
Median Absolute Deviation (MAD)0
Skewness5.825903129
Sum4560590.5
Variance676239.57
MonotonicityNot monotonic
2024-01-29T22:30:55.770208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14077
79.2%
157 75
 
0.4%
462 69
 
0.4%
437 57
 
0.3%
318 49
 
0.3%
292 46
 
0.3%
1051 42
 
0.2%
367 41
 
0.2%
449 35
 
0.2%
382 35
 
0.2%
Other values (1339) 3243
 
18.3%
ValueCountFrequency (%)
0 14077
79.2%
24 2
 
< 0.1%
26 14
 
0.1%
34 4
 
< 0.1%
38 1
 
< 0.1%
ValueCountFrequency (%)
15444 1
< 0.1%
14857 1
< 0.1%
12178 1
< 0.1%
11797 1
< 0.1%
10726 1
< 0.1%

ape_c4bda5
Real number (ℝ)

SKEWED  ZEROS 

Distinct41
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.92970904
Minimum0
Maximum150000
Zeros17696
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:55.906630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum150000
Range150000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1730.044899
Coefficient of variation (CV)28.86790085
Kurtosis4608.401478
Mean59.92970904
Median Absolute Deviation (MAD)0
Skewness61.00351571
Sum1064891
Variance2993055.352
MonotonicityNot monotonic
2024-01-29T22:30:56.026924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 17696
99.6%
3600 11
 
0.1%
6000 7
 
< 0.1%
10000 6
 
< 0.1%
12000 5
 
< 0.1%
15000 4
 
< 0.1%
20000 3
 
< 0.1%
30000 3
 
< 0.1%
25000 2
 
< 0.1%
6108 1
 
< 0.1%
Other values (31) 31
 
0.2%
ValueCountFrequency (%)
0 17696
99.6%
1200 1
 
< 0.1%
1800 1
 
< 0.1%
2448 1
 
< 0.1%
2552 1
 
< 0.1%
ValueCountFrequency (%)
150000 1
< 0.1%
120000 1
< 0.1%
60000 1
< 0.1%
40000 1
< 0.1%
34000 1
< 0.1%

ape_ltc
Real number (ℝ)

ZEROS 

Distinct511
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.3180111
Minimum0
Maximum6168
Zeros14427
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:56.150270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile558
Maximum6168
Range6168
Interquartile range (IQR)0

Descriptive statistics

Standard deviation264.0786026
Coefficient of variation (CV)2.33042038
Kurtosis35.36519731
Mean113.3180111
Median Absolute Deviation (MAD)0
Skewness3.849119401
Sum2013547.74
Variance69737.50833
MonotonicityNot monotonic
2024-01-29T22:30:56.276943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14427
81.2%
534 215
 
1.2%
530 165
 
0.9%
554 146
 
0.8%
541 132
 
0.7%
543 111
 
0.6%
525 107
 
0.6%
536 97
 
0.5%
559 88
 
0.5%
551 76
 
0.4%
Other values (501) 2205
 
12.4%
ValueCountFrequency (%)
0 14427
81.2%
56.37 1
 
< 0.1%
56.4 2
 
< 0.1%
72 1
 
< 0.1%
73.06 1
 
< 0.1%
ValueCountFrequency (%)
6168 1
< 0.1%
4192.96 1
< 0.1%
3833 1
< 0.1%
3390 1
< 0.1%
3261.2 1
< 0.1%

ape_507c37
Real number (ℝ)

SKEWED  ZEROS 

Distinct2802
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean662.0460729
Minimum0
Maximum391118.2
Zeros11652
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:56.413360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3162
95-th percentile3393.72
Maximum391118.2
Range391118.2
Interquartile range (IQR)162

Descriptive statistics

Standard deviation3947.925046
Coefficient of variation (CV)5.963217981
Kurtosis5426.522336
Mean662.0460729
Median Absolute Deviation (MAD)0
Skewness57.86983378
Sum11763896.67
Variance15586112.17
MonotonicityNot monotonic
2024-01-29T22:30:56.557983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11652
65.6%
36 342
 
1.9%
336 156
 
0.9%
66 147
 
0.8%
51 104
 
0.6%
360 83
 
0.5%
43.56 80
 
0.5%
96 78
 
0.4%
306 58
 
0.3%
90 47
 
0.3%
Other values (2792) 5022
28.3%
ValueCountFrequency (%)
0 11652
65.6%
3.6 3
 
< 0.1%
5.63 1
 
< 0.1%
6 6
 
< 0.1%
6.6 1
 
< 0.1%
ValueCountFrequency (%)
391118.2 1
< 0.1%
85380.6 1
< 0.1%
80073 1
< 0.1%
60110 1
< 0.1%
59981.6 1
< 0.1%

f_hold_839f8a
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1092351849
Minimum0
Maximum1
Zeros15828
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:56.671125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3119428402
Coefficient of variation (CV)2.855699293
Kurtosis4.278731827
Mean0.1092351849
Median Absolute Deviation (MAD)0
Skewness2.505643679
Sum1941
Variance0.09730833556
MonotonicityNot monotonic
2024-01-29T22:30:56.776170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 15828
89.1%
1 1941
 
10.9%
ValueCountFrequency (%)
0 15828
89.1%
1 1941
 
10.9%
ValueCountFrequency (%)
1 1941
 
10.9%
0 15828
89.1%

f_hold_e22a6a
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2077775902
Minimum0
Maximum1
Zeros14077
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:56.872658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4057281447
Coefficient of variation (CV)1.952704064
Kurtosis0.075469243
Mean0.2077775902
Median Absolute Deviation (MAD)0
Skewness1.440645953
Sum3692
Variance0.1646153274
MonotonicityNot monotonic
2024-01-29T22:30:56.961100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 14077
79.2%
1 3692
 
20.8%
ValueCountFrequency (%)
0 14077
79.2%
1 3692
 
20.8%
ValueCountFrequency (%)
1 3692
 
20.8%
0 14077
79.2%

f_hold_c4bda5
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004108278462
Minimum0
Maximum1
Zeros17696
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:57.065510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06396585635
Coefficient of variation (CV)15.56999043
Kurtosis238.4825228
Mean0.004108278462
Median Absolute Deviation (MAD)0
Skewness15.50663343
Sum73
Variance0.004091630778
MonotonicityNot monotonic
2024-01-29T22:30:57.162259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17696
99.6%
1 73
 
0.4%
ValueCountFrequency (%)
0 17696
99.6%
1 73
 
0.4%
ValueCountFrequency (%)
1 73
 
0.4%
0 17696
99.6%

f_hold_ltc
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1880803647
Minimum0
Maximum1
Zeros14427
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:57.260155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3907873278
Coefficient of variation (CV)2.077767812
Kurtosis0.5490172365
Mean0.1880803647
Median Absolute Deviation (MAD)0
Skewness1.596544849
Sum3342
Variance0.1527147355
MonotonicityNot monotonic
2024-01-29T22:30:57.356857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 14427
81.2%
1 3342
 
18.8%
ValueCountFrequency (%)
0 14427
81.2%
1 3342
 
18.8%
ValueCountFrequency (%)
1 3342
 
18.8%
0 14427
81.2%

f_hold_507c37
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.344251224
Minimum0
Maximum1
Zeros11652
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:57.477778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4751368474
Coefficient of variation (CV)1.3802038
Kurtosis-1.570274601
Mean0.344251224
Median Absolute Deviation (MAD)0
Skewness0.6556692421
Sum6117
Variance0.2257550238
MonotonicityNot monotonic
2024-01-29T22:30:57.595129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 11652
65.6%
1 6117
34.4%
ValueCountFrequency (%)
0 11652
65.6%
1 6117
34.4%
ValueCountFrequency (%)
1 6117
34.4%
0 11652
65.6%

sumins_839f8a
Real number (ℝ)

ZEROS 

Distinct238
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64002.91947
Minimum0
Maximum7900000
Zeros15806
Zeros (%)89.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:57.728412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile300000
Maximum7900000
Range7900000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation326097.1748
Coefficient of variation (CV)5.095035938
Kurtosis106.3381938
Mean64002.91947
Median Absolute Deviation (MAD)0
Skewness8.770431819
Sum1137267876
Variance1.063393674 × 1011
MonotonicityNot monotonic
2024-01-29T22:30:57.867017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15806
89.0%
50000 257
 
1.4%
100000 244
 
1.4%
1300000 126
 
0.7%
200000 117
 
0.7%
400000 115
 
0.6%
600000 89
 
0.5%
700000 76
 
0.4%
60000 66
 
0.4%
800000 64
 
0.4%
Other values (228) 809
 
4.6%
ValueCountFrequency (%)
0 15806
89.0%
10000 4
 
< 0.1%
12060 1
 
< 0.1%
12500 6
 
< 0.1%
12960 1
 
< 0.1%
ValueCountFrequency (%)
7900000 1
 
< 0.1%
6400000 1
 
< 0.1%
5600000 1
 
< 0.1%
5300000 2
 
< 0.1%
5200000 5
< 0.1%

sumins_c4bda5
Real number (ℝ)

SKEWED  ZEROS 

Distinct29
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494.5692695
Minimum0
Maximum1500000
Zeros17735
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:57.987283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1500000
Range1500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20547.18784
Coefficient of variation (CV)41.54562184
Kurtosis3509.063104
Mean494.5692695
Median Absolute Deviation (MAD)0
Skewness55.38309653
Sum8788001.35
Variance422186928.3
MonotonicityNot monotonic
2024-01-29T22:30:58.107996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 17735
99.8%
500 3
 
< 0.1%
700000 2
 
< 0.1%
850 2
 
< 0.1%
300 2
 
< 0.1%
6000 2
 
< 0.1%
1450300 1
 
< 0.1%
300200 1
 
< 0.1%
15000 1
 
< 0.1%
4500 1
 
< 0.1%
Other values (19) 19
 
0.1%
ValueCountFrequency (%)
0 17735
99.8%
200 1
 
< 0.1%
300 2
 
< 0.1%
350 1
 
< 0.1%
500 3
 
< 0.1%
ValueCountFrequency (%)
1500000 1
< 0.1%
1450300 1
< 0.1%
1000000 1
< 0.1%
700000 2
< 0.1%
450200.82 1
< 0.1%

sumins_ltc
Real number (ℝ)

SKEWED  ZEROS 

Distinct153
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean804.4230964
Minimum0
Maximum505901
Zeros14423
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:58.236852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1500
Maximum505901
Range505901
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8811.112035
Coefficient of variation (CV)10.9533305
Kurtosis814.0050381
Mean804.4230964
Median Absolute Deviation (MAD)0
Skewness22.94742542
Sum14293794
Variance77635695.29
MonotonicityNot monotonic
2024-01-29T22:30:58.374185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14423
81.2%
1200 439
 
2.5%
1500 321
 
1.8%
1000 320
 
1.8%
1100 314
 
1.8%
1400 251
 
1.4%
1300 241
 
1.4%
800 235
 
1.3%
900 165
 
0.9%
700 160
 
0.9%
Other values (143) 900
 
5.1%
ValueCountFrequency (%)
0 14423
81.2%
200 14
 
0.1%
300 27
 
0.2%
400 55
 
0.3%
500 77
 
0.4%
ValueCountFrequency (%)
505901 1
 
< 0.1%
214920 1
 
< 0.1%
202600 1
 
< 0.1%
187506 1
 
< 0.1%
180000 4
< 0.1%

sumins_507c37
Real number (ℝ)

ZEROS 

Distinct1443
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183487.5038
Minimum0
Maximum8300000
Zeros11413
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:58.518358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3100000
95-th percentile1100000
Maximum8300000
Range8300000
Interquartile range (IQR)100000

Descriptive statistics

Standard deviation521381.7131
Coefficient of variation (CV)2.841510742
Kurtosis42.92884231
Mean183487.5038
Median Absolute Deviation (MAD)0
Skewness5.46773674
Sum3260389455
Variance2.718388908 × 1011
MonotonicityNot monotonic
2024-01-29T22:30:58.656290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11413
64.2%
200000 420
 
2.4%
100000 391
 
2.2%
5000 357
 
2.0%
300000 255
 
1.4%
25000 250
 
1.4%
50000 245
 
1.4%
1000000 197
 
1.1%
150000 189
 
1.1%
250000 175
 
1.0%
Other values (1433) 3877
 
21.8%
ValueCountFrequency (%)
0 11413
64.2%
126 1
 
< 0.1%
136 1
 
< 0.1%
186 1
 
< 0.1%
191 1
 
< 0.1%
ValueCountFrequency (%)
8300000 1
< 0.1%
7600000 1
< 0.1%
7378524 1
< 0.1%
7200000 1
< 0.1%
6800000 1
< 0.1%

prempaid_839f8a
Real number (ℝ)

ZEROS 

Distinct1005
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6761.71682
Minimum0
Maximum642042
Zeros15828
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:58.776441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile42999.96
Maximum642042
Range642042
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30731.15635
Coefficient of variation (CV)4.544874796
Kurtosis89.15130135
Mean6761.71682
Median Absolute Deviation (MAD)0
Skewness7.897744132
Sum120148946.2
Variance944403970.5
MonotonicityNot monotonic
2024-01-29T22:30:59.154993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15828
89.1%
2650 64
 
0.4%
8236.2 42
 
0.2%
65635.2 37
 
0.2%
49608 28
 
0.2%
42039.6 24
 
0.1%
40068 24
 
0.1%
19588.8 23
 
0.1%
24040.8 20
 
0.1%
13228.8 20
 
0.1%
Other values (995) 1659
 
9.3%
ValueCountFrequency (%)
0 15828
89.1%
27 3
 
< 0.1%
50 1
 
< 0.1%
105 1
 
< 0.1%
243.08 1
 
< 0.1%
ValueCountFrequency (%)
642042 1
< 0.1%
632184 1
< 0.1%
603383.8 1
< 0.1%
595677.6 1
< 0.1%
492582 1
< 0.1%

prempaid_e22a6a
Real number (ℝ)

ZEROS 

Distinct1355
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13537.4847
Minimum0
Maximum818532
Zeros14077
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:59.283611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile84704.6
Maximum818532
Range818532
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43525.50591
Coefficient of variation (CV)3.215184126
Kurtosis49.9483656
Mean13537.4847
Median Absolute Deviation (MAD)0
Skewness5.845534618
Sum240547565.6
Variance1894469665
MonotonicityNot monotonic
2024-01-29T22:30:59.421477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14077
79.2%
8321 75
 
0.4%
24486 69
 
0.4%
23161 57
 
0.3%
16854 49
 
0.3%
15476 46
 
0.3%
55703 42
 
0.2%
19451 41
 
0.2%
23797 35
 
0.2%
20246 35
 
0.2%
Other values (1345) 3243
 
18.3%
ValueCountFrequency (%)
0 14077
79.2%
38 1
 
< 0.1%
116.6 7
 
< 0.1%
124 2
 
< 0.1%
127 2
 
< 0.1%
ValueCountFrequency (%)
818532 1
< 0.1%
787421 1
< 0.1%
645434 1
< 0.1%
625241 1
< 0.1%
568478 1
< 0.1%

prempaid_c4bda5
Real number (ℝ)

SKEWED  ZEROS 

Distinct41
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3176.274579
Minimum0
Maximum7950000
Zeros17696
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:59.598436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7950000
Range7950000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation91692.37963
Coefficient of variation (CV)28.86790085
Kurtosis4608.401478
Mean3176.274579
Median Absolute Deviation (MAD)0
Skewness61.00351571
Sum56439223
Variance8407492483
MonotonicityNot monotonic
2024-01-29T22:30:59.783473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 17696
99.6%
190800 11
 
0.1%
318000 7
 
< 0.1%
530000 6
 
< 0.1%
636000 5
 
< 0.1%
795000 4
 
< 0.1%
1060000 3
 
< 0.1%
1590000 3
 
< 0.1%
1325000 2
 
< 0.1%
323724 1
 
< 0.1%
Other values (31) 31
 
0.2%
ValueCountFrequency (%)
0 17696
99.6%
63600 1
 
< 0.1%
95400 1
 
< 0.1%
129744 1
 
< 0.1%
135256 1
 
< 0.1%
ValueCountFrequency (%)
7950000 1
< 0.1%
6360000 1
< 0.1%
3180000 1
< 0.1%
2120000 1
< 0.1%
1802000 1
< 0.1%

prempaid_ltc
Real number (ℝ)

ZEROS 

Distinct511
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6005.854591
Minimum0
Maximum326904
Zeros14427
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:30:59.919966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile29574
Maximum326904
Range326904
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13996.16594
Coefficient of variation (CV)2.33042038
Kurtosis35.36519731
Mean6005.854591
Median Absolute Deviation (MAD)0
Skewness3.849119401
Sum106718030.2
Variance195892660.9
MonotonicityNot monotonic
2024-01-29T22:31:00.056907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14427
81.2%
28302 215
 
1.2%
28090 165
 
0.9%
29362 146
 
0.8%
28673 132
 
0.7%
28779 111
 
0.6%
27825 107
 
0.6%
28408 97
 
0.5%
29627 88
 
0.5%
29203 76
 
0.4%
Other values (501) 2205
 
12.4%
ValueCountFrequency (%)
0 14427
81.2%
2987.61 1
 
< 0.1%
2989.2 2
 
< 0.1%
3816 1
 
< 0.1%
3872.18 1
 
< 0.1%
ValueCountFrequency (%)
326904 1
< 0.1%
222226.88 1
< 0.1%
203149 1
< 0.1%
179670 1
< 0.1%
172843.6 1
< 0.1%

prempaid_507c37
Real number (ℝ)

ZEROS 

Distinct2813
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27633.4414
Minimum0
Maximum2380972
Zeros11652
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:00.201644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37844
95-th percentile158033.492
Maximum2380972
Range2380972
Interquartile range (IQR)7844

Descriptive statistics

Standard deviation99805.21624
Coefficient of variation (CV)3.611754859
Kurtosis102.3781547
Mean27633.4414
Median Absolute Deviation (MAD)0
Skewness8.237365043
Sum491018620.2
Variance9961081189
MonotonicityNot monotonic
2024-01-29T22:31:00.346213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11652
65.6%
1908 342
 
1.9%
17808 156
 
0.9%
3498 147
 
0.8%
2703 104
 
0.6%
19080 83
 
0.5%
2308.68 80
 
0.5%
5088 78
 
0.4%
16218 58
 
0.3%
4770 47
 
0.3%
Other values (2803) 5022
28.3%
ValueCountFrequency (%)
0 11652
65.6%
14 1
 
< 0.1%
15.41 1
 
< 0.1%
27.14 1
 
< 0.1%
45 1
 
< 0.1%
ValueCountFrequency (%)
2380972 1
< 0.1%
1956283 1
< 0.1%
1953050 1
< 0.1%
1912134 1
< 0.1%
1866925 1
< 0.1%

n_months_since_lapse_grp_6fc3e6
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06882773369
Minimum-53
Maximum101
Zeros17719
Zeros (%)99.7%
Negative10
Negative (%)0.1%
Memory size138.9 KiB
2024-01-29T22:31:00.539923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum101
Range154
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.765493212
Coefficient of variation (CV)40.1799255
Kurtosis657.188832
Mean0.06882773369
Median Absolute Deviation (MAD)0
Skewness16.64749053
Sum1223
Variance7.647952706
MonotonicityNot monotonic
2024-01-29T22:31:00.748130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 17719
99.7%
-53 10
 
0.1%
83 5
 
< 0.1%
50 3
 
< 0.1%
14 3
 
< 0.1%
26 2
 
< 0.1%
41 2
 
< 0.1%
5 2
 
< 0.1%
35 2
 
< 0.1%
19 2
 
< 0.1%
Other values (19) 19
 
0.1%
ValueCountFrequency (%)
-53 10
 
0.1%
0 17719
99.7%
5 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
101 1
 
< 0.1%
94 1
 
< 0.1%
83 5
< 0.1%
82 1
 
< 0.1%
75 1
 
< 0.1%

n_months_since_lapse_grp_de05ae
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005571500929
Minimum-53
Maximum79
Zeros17763
Zeros (%)> 99.9%
Negative4
Negative (%)< 0.1%
Memory size138.9 KiB
2024-01-29T22:31:00.893356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum79
Range132
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0240371
Coefficient of variation (CV)-183.7991437
Kurtosis3675.354162
Mean-0.005571500929
Median Absolute Deviation (MAD)0
Skewness-3.29452783
Sum-99
Variance1.048651982
MonotonicityNot monotonic
2024-01-29T22:31:01.031577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 17763
> 99.9%
-53 4
 
< 0.1%
34 1
 
< 0.1%
79 1
 
< 0.1%
ValueCountFrequency (%)
-53 4
 
< 0.1%
0 17763
> 99.9%
34 1
 
< 0.1%
79 1
 
< 0.1%
ValueCountFrequency (%)
79 1
 
< 0.1%
34 1
 
< 0.1%
0 17763
> 99.9%
-53 4
 
< 0.1%

n_months_since_lapse_grp_945b5a
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17980753
Minimum-53
Maximum141
Zeros17562
Zeros (%)98.8%
Negative52
Negative (%)0.3%
Memory size138.9 KiB
2024-01-29T22:31:01.167247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum141
Range194
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.264602101
Coefficient of variation (CV)29.27909694
Kurtosis192.3106787
Mean0.17980753
Median Absolute Deviation (MAD)0
Skewness6.88748097
Sum3195
Variance27.71603528
MonotonicityNot monotonic
2024-01-29T22:31:01.319782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17562
98.8%
-53 52
 
0.3%
20 16
 
0.1%
8 11
 
0.1%
83 7
 
< 0.1%
26 6
 
< 0.1%
22 5
 
< 0.1%
50 5
 
< 0.1%
56 5
 
< 0.1%
6 4
 
< 0.1%
Other values (54) 96
 
0.5%
ValueCountFrequency (%)
-53 52
 
0.3%
0 17562
98.8%
2 1
 
< 0.1%
4 3
 
< 0.1%
6 4
 
< 0.1%
ValueCountFrequency (%)
141 1
< 0.1%
128 2
< 0.1%
94 1
< 0.1%
93 1
< 0.1%
86 1
< 0.1%

n_months_since_lapse_grp_6a5788
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02065394789
Minimum-53
Maximum115
Zeros17727
Zeros (%)99.8%
Negative18
Negative (%)0.1%
Memory size138.9 KiB
2024-01-29T22:31:01.432719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum115
Range168
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.813037882
Coefficient of variation (CV)136.1985562
Kurtosis636.9622809
Mean0.02065394789
Median Absolute Deviation (MAD)0
Skewness10.59051597
Sum367
Variance7.913182125
MonotonicityNot monotonic
2024-01-29T22:31:01.545096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 17727
99.8%
-53 18
 
0.1%
62 6
 
< 0.1%
20 3
 
< 0.1%
75 2
 
< 0.1%
74 1
 
< 0.1%
41 1
 
< 0.1%
38 1
 
< 0.1%
47 1
 
< 0.1%
4 1
 
< 0.1%
Other values (8) 8
 
< 0.1%
ValueCountFrequency (%)
-53 18
 
0.1%
0 17727
99.8%
4 1
 
< 0.1%
20 3
 
< 0.1%
21 1
 
< 0.1%
ValueCountFrequency (%)
115 1
< 0.1%
100 1
< 0.1%
79 1
< 0.1%
78 1
< 0.1%
75 2
< 0.1%

n_months_since_lapse_ltc_43b9d5
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04102650684
Minimum0
Maximum22
Zeros17691
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:01.650103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7355501176
Coefficient of variation (CV)17.92865575
Kurtosis483.9280315
Mean0.04102650684
Median Absolute Deviation (MAD)0
Skewness21.15504508
Sum729
Variance0.5410339755
MonotonicityNot monotonic
2024-01-29T22:31:01.770866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 17691
99.6%
6 11
 
0.1%
3 9
 
0.1%
18 7
 
< 0.1%
2 6
 
< 0.1%
7 5
 
< 0.1%
19 5
 
< 0.1%
8 5
 
< 0.1%
12 4
 
< 0.1%
4 4
 
< 0.1%
Other values (12) 22
 
0.1%
ValueCountFrequency (%)
0 17691
99.6%
1 2
 
< 0.1%
2 6
 
< 0.1%
3 9
 
0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
21 1
 
< 0.1%
19 5
< 0.1%
18 7
< 0.1%
17 2
 
< 0.1%

n_months_since_lapse_grp_9cdedf
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0964038494
Minimum-53
Maximum105
Zeros17698
Zeros (%)99.6%
Negative12
Negative (%)0.1%
Memory size138.9 KiB
2024-01-29T22:31:01.907426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum105
Range158
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.148077644
Coefficient of variation (CV)32.65510313
Kurtosis531.9243748
Mean0.0964038494
Median Absolute Deviation (MAD)0
Skewness15.5494349
Sum1713
Variance9.910392853
MonotonicityNot monotonic
2024-01-29T22:31:02.045088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 17698
99.6%
-53 12
 
0.1%
26 6
 
< 0.1%
83 5
 
< 0.1%
14 4
 
< 0.1%
75 3
 
< 0.1%
50 3
 
< 0.1%
8 3
 
< 0.1%
13 2
 
< 0.1%
38 2
 
< 0.1%
Other values (26) 31
 
0.2%
ValueCountFrequency (%)
-53 12
 
0.1%
0 17698
99.6%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
105 1
 
< 0.1%
101 1
 
< 0.1%
94 1
 
< 0.1%
90 1
 
< 0.1%
83 5
< 0.1%

n_months_since_lapse_grp_1581d7
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.367156283
Minimum-53
Maximum141
Zeros17237
Zeros (%)97.0%
Negative16
Negative (%)0.1%
Memory size138.9 KiB
2024-01-29T22:31:02.181977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum141
Range194
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.531290067
Coefficient of variation (CV)6.971617058
Kurtosis60.05830198
Mean1.367156283
Median Absolute Deviation (MAD)0
Skewness7.153014116
Sum24293
Variance90.84549034
MonotonicityNot monotonic
2024-01-29T22:31:02.335969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17237
97.0%
32 77
 
0.4%
78 71
 
0.4%
38 51
 
0.3%
31 34
 
0.2%
20 22
 
0.1%
-53 16
 
0.1%
81 16
 
0.1%
56 11
 
0.1%
83 10
 
0.1%
Other values (86) 224
 
1.3%
ValueCountFrequency (%)
-53 16
 
0.1%
0 17237
97.0%
2 3
 
< 0.1%
3 1
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
141 1
 
< 0.1%
128 2
< 0.1%
116 1
 
< 0.1%
108 1
 
< 0.1%
105 3
< 0.1%

n_months_since_lapse_grp_22decf
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2841465474
Minimum0
Maximum141
Zeros17650
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:02.472419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum141
Range141
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.280677244
Coefficient of variation (CV)15.06503346
Kurtosis417.0495814
Mean0.2841465474
Median Absolute Deviation (MAD)0
Skewness19.13368202
Sum5049
Variance18.32419766
MonotonicityNot monotonic
2024-01-29T22:31:02.608159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 17650
99.3%
8 10
 
0.1%
38 10
 
0.1%
26 8
 
< 0.1%
20 8
 
< 0.1%
44 7
 
< 0.1%
28 6
 
< 0.1%
32 6
 
< 0.1%
68 5
 
< 0.1%
56 4
 
< 0.1%
Other values (38) 55
 
0.3%
ValueCountFrequency (%)
0 17650
99.3%
2 1
 
< 0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
141 1
 
< 0.1%
117 1
 
< 0.1%
105 4
< 0.1%
104 1
 
< 0.1%
101 1
 
< 0.1%

n_months_since_lapse_lh_507c37
Real number (ℝ)

ZEROS 

Distinct114
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.457763521
Minimum0
Maximum128
Zeros17289
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:02.745882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum128
Range128
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.899109901
Coefficient of variation (CV)6.790614362
Kurtosis63.46712376
Mean1.457763521
Median Absolute Deviation (MAD)0
Skewness7.675152593
Sum25903
Variance97.99237683
MonotonicityNot monotonic
2024-01-29T22:31:02.889992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17289
97.3%
74 12
 
0.1%
48 12
 
0.1%
56 12
 
0.1%
42 11
 
0.1%
65 11
 
0.1%
45 10
 
0.1%
38 10
 
0.1%
70 10
 
0.1%
52 9
 
0.1%
Other values (104) 383
 
2.2%
ValueCountFrequency (%)
0 17289
97.3%
1 2
 
< 0.1%
2 1
 
< 0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
128 2
< 0.1%
124 1
< 0.1%
123 1
< 0.1%
122 1
< 0.1%
121 1
< 0.1%

n_months_since_lapse_lh_839f8a
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1502054139
Minimum0
Maximum71
Zeros17663
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:03.027430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum71
Range71
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.315405867
Coefficient of variation (CV)15.41492951
Kurtosis404.5080798
Mean0.1502054139
Median Absolute Deviation (MAD)0
Skewness18.80161723
Sum2669
Variance5.361104331
MonotonicityNot monotonic
2024-01-29T22:31:03.163428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17663
99.4%
26 15
 
0.1%
24 8
 
< 0.1%
2 5
 
< 0.1%
15 5
 
< 0.1%
12 5
 
< 0.1%
9 4
 
< 0.1%
7 4
 
< 0.1%
4 3
 
< 0.1%
35 3
 
< 0.1%
Other values (40) 54
 
0.3%
ValueCountFrequency (%)
0 17663
99.4%
1 1
 
< 0.1%
2 5
 
< 0.1%
3 1
 
< 0.1%
4 3
 
< 0.1%
ValueCountFrequency (%)
71 1
< 0.1%
70 1
< 0.1%
67 1
< 0.1%
63 1
< 0.1%
61 2
< 0.1%

n_months_since_lapse_inv_e9f316
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03472339468
Minimum0
Maximum101
Zeros17748
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:03.284423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum101
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.274458499
Coefficient of variation (CV)36.70316543
Kurtosis3878.845629
Mean0.03472339468
Median Absolute Deviation (MAD)0
Skewness56.0453885
Sum617
Variance1.624244466
MonotonicityNot monotonic
2024-01-29T22:31:03.390186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 17748
99.9%
26 13
 
0.1%
15 2
 
< 0.1%
6 1
 
< 0.1%
14 1
 
< 0.1%
92 1
 
< 0.1%
25 1
 
< 0.1%
101 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
0 17748
99.9%
6 1
 
< 0.1%
11 1
 
< 0.1%
14 1
 
< 0.1%
15 2
 
< 0.1%
ValueCountFrequency (%)
101 1
 
< 0.1%
92 1
 
< 0.1%
26 13
0.1%
25 1
 
< 0.1%
15 2
 
< 0.1%

n_months_since_lapse_grp_caa6ff
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1240362429
Minimum-53
Maximum75
Zeros17655
Zeros (%)99.4%
Negative67
Negative (%)0.4%
Memory size138.9 KiB
2024-01-29T22:31:03.503793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum75
Range128
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.683036549
Coefficient of variation (CV)-29.69322888
Kurtosis199.7167756
Mean-0.1240362429
Median Absolute Deviation (MAD)0
Skewness-8.277465598
Sum-2204
Variance13.56475822
MonotonicityNot monotonic
2024-01-29T22:31:03.641443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 17655
99.4%
-53 67
 
0.4%
32 3
 
< 0.1%
34 3
 
< 0.1%
8 3
 
< 0.1%
23 3
 
< 0.1%
4 2
 
< 0.1%
36 2
 
< 0.1%
6 2
 
< 0.1%
22 2
 
< 0.1%
Other values (24) 27
 
0.2%
ValueCountFrequency (%)
-53 67
 
0.4%
0 17655
99.4%
4 2
 
< 0.1%
6 2
 
< 0.1%
8 3
 
< 0.1%
ValueCountFrequency (%)
75 1
< 0.1%
67 1
< 0.1%
64 1
< 0.1%
59 1
< 0.1%
58 1
< 0.1%

n_months_since_lapse_grp_fd3bfb
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01598289155
Minimum-53
Maximum67
Zeros17728
Zeros (%)99.8%
Negative18
Negative (%)0.1%
Memory size138.9 KiB
2024-01-29T22:31:03.745955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum67
Range120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.061381645
Coefficient of variation (CV)-128.9742621
Kurtosis612.3590685
Mean-0.01598289155
Median Absolute Deviation (MAD)0
Skewness-10.08523115
Sum-284
Variance4.249294285
MonotonicityNot monotonic
2024-01-29T22:31:03.860001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 17728
99.8%
-53 18
 
0.1%
26 3
 
< 0.1%
17 2
 
< 0.1%
34 2
 
< 0.1%
8 2
 
< 0.1%
33 1
 
< 0.1%
53 1
 
< 0.1%
37 1
 
< 0.1%
58 1
 
< 0.1%
Other values (10) 10
 
0.1%
ValueCountFrequency (%)
-53 18
 
0.1%
0 17728
99.8%
8 2
 
< 0.1%
11 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
67 1
< 0.1%
58 1
< 0.1%
53 1
< 0.1%
45 1
< 0.1%
41 1
< 0.1%

n_months_since_lapse_lh_e22a6a
Real number (ℝ)

ZEROS 

Distinct147
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.396645844
Minimum0
Maximum194
Zeros16555
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:03.988086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile36
Maximum194
Range194
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.84439535
Coefficient of variation (CV)4.286084441
Kurtosis22.83718673
Mean4.396645844
Median Absolute Deviation (MAD)0
Skewness4.71606337
Sum78124
Variance355.1112359
MonotonicityNot monotonic
2024-01-29T22:31:04.140252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16555
93.2%
94 19
 
0.1%
78 18
 
0.1%
21 18
 
0.1%
77 18
 
0.1%
73 18
 
0.1%
69 18
 
0.1%
85 17
 
0.1%
76 17
 
0.1%
48 16
 
0.1%
Other values (137) 1055
 
5.9%
ValueCountFrequency (%)
0 16555
93.2%
1 15
 
0.1%
2 15
 
0.1%
3 15
 
0.1%
4 10
 
0.1%
ValueCountFrequency (%)
194 1
< 0.1%
180 2
< 0.1%
176 1
< 0.1%
175 1
< 0.1%
163 1
< 0.1%

n_months_since_lapse_grp_70e1dd
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.678091057
Minimum-53
Maximum154
Zeros17147
Zeros (%)96.5%
Negative18
Negative (%)0.1%
Memory size138.9 KiB
2024-01-29T22:31:04.285683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum154
Range207
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.88951483
Coefficient of variation (CV)6.489227612
Kurtosis57.33730012
Mean1.678091057
Median Absolute Deviation (MAD)0
Skewness6.911574645
Sum29818
Variance118.5815331
MonotonicityNot monotonic
2024-01-29T22:31:04.661494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17147
96.5%
78 67
 
0.4%
38 52
 
0.3%
20 40
 
0.2%
8 18
 
0.1%
32 18
 
0.1%
-53 18
 
0.1%
81 18
 
0.1%
68 17
 
0.1%
44 16
 
0.1%
Other values (94) 358
 
2.0%
ValueCountFrequency (%)
-53 18
 
0.1%
0 17147
96.5%
2 4
 
< 0.1%
3 1
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
154 2
 
< 0.1%
153 3
< 0.1%
141 6
< 0.1%
128 2
 
< 0.1%
116 1
 
< 0.1%

n_months_since_lapse_grp_e04c3a
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48652147
Minimum0
Maximum154
Zeros17589
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:04.792961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum154
Range154
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.829923961
Coefficient of variation (CV)11.98287089
Kurtosis256.2269859
Mean0.48652147
Median Absolute Deviation (MAD)0
Skewness14.91924374
Sum8645
Variance33.98801339
MonotonicityNot monotonic
2024-01-29T22:31:04.938736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17589
99.0%
68 16
 
0.1%
26 12
 
0.1%
44 11
 
0.1%
20 11
 
0.1%
8 10
 
0.1%
38 10
 
0.1%
96 7
 
< 0.1%
32 6
 
< 0.1%
28 6
 
< 0.1%
Other values (51) 91
 
0.5%
ValueCountFrequency (%)
0 17589
99.0%
2 1
 
< 0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
154 3
< 0.1%
141 1
 
< 0.1%
105 5
< 0.1%
104 1
 
< 0.1%
102 1
 
< 0.1%

n_months_since_lapse_grp_fe5fb8
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.142551635
Minimum0
Maximum154
Zeros16994
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:05.069118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum154
Range154
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.61234089
Coefficient of variation (CV)5.419865126
Kurtosis46.24934112
Mean2.142551635
Median Absolute Deviation (MAD)0
Skewness6.431488172
Sum38071
Variance134.8464609
MonotonicityNot monotonic
2024-01-29T22:31:05.205282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16994
95.6%
44 79
 
0.4%
38 59
 
0.3%
20 54
 
0.3%
26 52
 
0.3%
68 45
 
0.3%
62 33
 
0.2%
56 30
 
0.2%
8 28
 
0.2%
93 22
 
0.1%
Other values (98) 373
 
2.1%
ValueCountFrequency (%)
0 16994
95.6%
2 3
 
< 0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
154 2
< 0.1%
153 3
< 0.1%
141 1
 
< 0.1%
128 2
< 0.1%
120 3
< 0.1%

n_months_since_lapse_grp_94baec
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.429343238
Minimum0
Maximum154
Zeros17225
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:05.342884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum154
Range154
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.434552458
Coefficient of variation (CV)6.600620625
Kurtosis73.55063858
Mean1.429343238
Median Absolute Deviation (MAD)0
Skewness8.030888171
Sum25398
Variance89.01078008
MonotonicityNot monotonic
2024-01-29T22:31:05.486746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17225
96.9%
38 57
 
0.3%
20 45
 
0.3%
26 43
 
0.2%
44 37
 
0.2%
8 21
 
0.1%
68 19
 
0.1%
56 17
 
0.1%
32 15
 
0.1%
53 14
 
0.1%
Other values (96) 276
 
1.6%
ValueCountFrequency (%)
0 17225
96.9%
2 3
 
< 0.1%
3 1
 
< 0.1%
4 4
 
< 0.1%
5 3
 
< 0.1%
ValueCountFrequency (%)
154 3
< 0.1%
141 1
 
< 0.1%
128 2
< 0.1%
117 1
 
< 0.1%
116 1
 
< 0.1%

n_months_since_lapse_grp_e91421
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02481850414
Minimum-53
Maximum94
Zeros17710
Zeros (%)99.7%
Negative21
Negative (%)0.1%
Memory size138.9 KiB
2024-01-29T22:31:05.615472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum94
Range147
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.932779612
Coefficient of variation (CV)118.1690724
Kurtosis505.5544164
Mean0.02481850414
Median Absolute Deviation (MAD)0
Skewness7.799958498
Sum441
Variance8.601196254
MonotonicityNot monotonic
2024-01-29T22:31:05.743342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 17710
99.7%
-53 21
 
0.1%
83 5
 
< 0.1%
8 5
 
< 0.1%
17 2
 
< 0.1%
26 2
 
< 0.1%
75 2
 
< 0.1%
34 2
 
< 0.1%
19 2
 
< 0.1%
23 2
 
< 0.1%
Other values (16) 16
 
0.1%
ValueCountFrequency (%)
-53 21
 
0.1%
0 17710
99.7%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 5
 
< 0.1%
ValueCountFrequency (%)
94 1
 
< 0.1%
83 5
< 0.1%
75 2
 
< 0.1%
74 1
 
< 0.1%
72 1
 
< 0.1%

n_months_since_lapse_lh_f852af
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3695199505
Minimum0
Maximum75
Zeros17484
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:05.879818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum75
Range75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.597031926
Coefficient of variation (CV)9.734337541
Kurtosis151.1905096
Mean0.3695199505
Median Absolute Deviation (MAD)0
Skewness11.74808038
Sum6566
Variance12.93863868
MonotonicityNot monotonic
2024-01-29T22:31:06.025673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17484
98.4%
11 17
 
0.1%
9 16
 
0.1%
48 12
 
0.1%
12 12
 
0.1%
8 12
 
0.1%
10 11
 
0.1%
4 10
 
0.1%
2 9
 
0.1%
3 8
 
< 0.1%
Other values (52) 178
 
1.0%
ValueCountFrequency (%)
0 17484
98.4%
1 6
 
< 0.1%
2 9
 
0.1%
3 8
 
< 0.1%
4 10
 
0.1%
ValueCountFrequency (%)
75 1
< 0.1%
66 1
< 0.1%
64 1
< 0.1%
62 1
< 0.1%
59 1
< 0.1%

n_months_since_lapse_lh_947b15
Real number (ℝ)

SKEWED  ZEROS 

Distinct74
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3544375035
Minimum0
Maximum249
Zeros17660
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:06.170380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum249
Range249
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.053815355
Coefficient of variation (CV)17.08006431
Kurtosis826.2466392
Mean0.3544375035
Median Absolute Deviation (MAD)0
Skewness25.71697447
Sum6298
Variance36.64868036
MonotonicityNot monotonic
2024-01-29T22:31:06.307442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17660
99.4%
23 4
 
< 0.1%
56 4
 
< 0.1%
15 4
 
< 0.1%
83 3
 
< 0.1%
47 3
 
< 0.1%
24 3
 
< 0.1%
22 3
 
< 0.1%
42 3
 
< 0.1%
234 2
 
< 0.1%
Other values (64) 80
 
0.5%
ValueCountFrequency (%)
0 17660
99.4%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
249 1
< 0.1%
234 2
< 0.1%
233 1
< 0.1%
225 1
< 0.1%
198 1
< 0.1%

f_ever_bought_839f8a
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1201530756
Minimum0
Maximum1
Zeros15634
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:06.411885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3251496022
Coefficient of variation (CV)2.706128001
Kurtosis3.460589311
Mean0.1201530756
Median Absolute Deviation (MAD)0
Skewness2.336707045
Sum2135
Variance0.1057222638
MonotonicityNot monotonic
2024-01-29T22:31:06.525117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 15634
88.0%
1 2135
 
12.0%
ValueCountFrequency (%)
0 15634
88.0%
1 2135
 
12.0%
ValueCountFrequency (%)
1 2135
 
12.0%
0 15634
88.0%

f_ever_bought_e22a6a
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2588215431
Minimum0
Maximum1
Zeros13170
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:06.622076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4379997129
Coefficient of variation (CV)1.692284605
Kurtosis-0.7870150443
Mean0.2588215431
Median Absolute Deviation (MAD)0
Skewness1.101396183
Sum4599
Variance0.1918437485
MonotonicityNot monotonic
2024-01-29T22:31:06.718991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 13170
74.1%
1 4599
 
25.9%
ValueCountFrequency (%)
0 13170
74.1%
1 4599
 
25.9%
ValueCountFrequency (%)
1 4599
 
25.9%
0 13170
74.1%

f_ever_bought_c4bda5
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004333389611
Minimum0
Maximum1
Zeros17692
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:06.816053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06568754963
Coefficient of variation (CV)15.15846843
Kurtosis225.834466
Mean0.004333389611
Median Absolute Deviation (MAD)0
Skewness15.09334446
Sum77
Variance0.004314854176
MonotonicityNot monotonic
2024-01-29T22:31:06.912446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17692
99.6%
1 77
 
0.4%
ValueCountFrequency (%)
0 17692
99.6%
1 77
 
0.4%
ValueCountFrequency (%)
1 77
 
0.4%
0 17692
99.6%

f_ever_bought_ltc
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1915695875
Minimum0
Maximum1
Zeros14365
Zeros (%)80.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:07.016682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3935471978
Coefficient of variation (CV)2.054330246
Kurtosis0.4574664613
Mean0.1915695875
Median Absolute Deviation (MAD)0
Skewness1.567614424
Sum3404
Variance0.1548793969
MonotonicityNot monotonic
2024-01-29T22:31:07.112437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 14365
80.8%
1 3404
 
19.2%
ValueCountFrequency (%)
0 14365
80.8%
1 3404
 
19.2%
ValueCountFrequency (%)
1 3404
 
19.2%
0 14365
80.8%

f_ever_bought_507c37
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.390792954
Minimum0
Maximum1
Zeros10825
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:07.209415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4879418204
Coefficient of variation (CV)1.248594212
Kurtosis-1.799790924
Mean0.390792954
Median Absolute Deviation (MAD)0
Skewness0.4476736146
Sum6944
Variance0.2380872201
MonotonicityNot monotonic
2024-01-29T22:31:07.306300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 10825
60.9%
1 6944
39.1%
ValueCountFrequency (%)
0 10825
60.9%
1 6944
39.1%
ValueCountFrequency (%)
1 6944
39.1%
0 10825
60.9%

f_ever_bought_gi
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1183521864
Minimum0
Maximum1
Zeros15666
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:07.411690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3230337738
Coefficient of variation (CV)2.72942802
Kurtosis3.584944147
Mean0.1183521864
Median Absolute Deviation (MAD)0
Skewness2.363163273
Sum2103
Variance0.104350819
MonotonicityNot monotonic
2024-01-29T22:31:07.516628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 15666
88.2%
1 2103
 
11.8%
ValueCountFrequency (%)
0 15666
88.2%
1 2103
 
11.8%
ValueCountFrequency (%)
1 2103
 
11.8%
0 15666
88.2%

n_months_last_bought_839f8a
Real number (ℝ)

ZEROS 

Distinct322
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.01277506
Minimum0
Maximum504
Zeros15530
Zeros (%)87.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:07.646117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile61
Maximum504
Range504
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.86128904
Coefficient of variation (CV)4.180787924
Kurtosis39.6171098
Mean10.01277506
Median Absolute Deviation (MAD)0
Skewness5.874068301
Sum177917
Variance1752.36752
MonotonicityNot monotonic
2024-01-29T22:31:07.791244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15530
87.4%
8 254
 
1.4%
84 109
 
0.6%
5 94
 
0.5%
50 72
 
0.4%
36 46
 
0.3%
10 40
 
0.2%
32 34
 
0.2%
6 33
 
0.2%
38 30
 
0.2%
Other values (312) 1527
 
8.6%
ValueCountFrequency (%)
0 15530
87.4%
1 28
 
0.2%
2 25
 
0.1%
3 12
 
0.1%
4 22
 
0.1%
ValueCountFrequency (%)
504 1
< 0.1%
487 1
< 0.1%
475 1
< 0.1%
467 1
< 0.1%
452 1
< 0.1%

n_months_last_bought_e22a6a
Real number (ℝ)

ZEROS 

Distinct219
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.06139907
Minimum0
Maximum390
Zeros12126
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:07.911564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile149
Maximum390
Range390
Interquartile range (IQR)8

Descriptive statistics

Standard deviation49.97533611
Coefficient of variation (CV)2.167055692
Kurtosis4.141973731
Mean23.06139907
Median Absolute Deviation (MAD)0
Skewness2.264822051
Sum409778
Variance2497.53422
MonotonicityNot monotonic
2024-01-29T22:31:08.056973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12126
68.2%
8 1174
 
6.6%
5 184
 
1.0%
11 95
 
0.5%
1 84
 
0.5%
20 78
 
0.4%
2 71
 
0.4%
6 69
 
0.4%
14 67
 
0.4%
4 63
 
0.4%
Other values (209) 3758
 
21.1%
ValueCountFrequency (%)
0 12126
68.2%
1 84
 
0.5%
2 71
 
0.4%
3 23
 
0.1%
4 63
 
0.4%
ValueCountFrequency (%)
390 1
 
< 0.1%
220 6
 
< 0.1%
219 21
0.1%
218 21
0.1%
217 15
0.1%

n_months_last_bought_c4bda5
Real number (ℝ)

SKEWED  ZEROS 

Distinct39
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2911812708
Minimum0
Maximum224
Zeros17658
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:08.202213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum224
Range224
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.73539209
Coefficient of variation (CV)19.69698146
Kurtosis562.4351571
Mean0.2911812708
Median Absolute Deviation (MAD)0
Skewness22.88076815
Sum5174
Variance32.89472243
MonotonicityNot monotonic
2024-01-29T22:31:08.323255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 17658
99.4%
5 11
 
0.1%
3 8
 
< 0.1%
2 7
 
< 0.1%
10 7
 
< 0.1%
14 6
 
< 0.1%
1 5
 
< 0.1%
117 5
 
< 0.1%
12 5
 
< 0.1%
115 4
 
< 0.1%
Other values (29) 53
 
0.3%
ValueCountFrequency (%)
0 17658
99.4%
1 5
 
< 0.1%
2 7
 
< 0.1%
3 8
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
224 1
< 0.1%
189 1
< 0.1%
137 1
< 0.1%
133 2
< 0.1%
132 2
< 0.1%

n_months_last_bought_ltc
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.271596601
Minimum0
Maximum409
Zeros14340
Zeros (%)80.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:08.452465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30
Maximum409
Range409
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.18643647
Coefficient of variation (CV)3.087004159
Kurtosis228.025801
Mean4.271596601
Median Absolute Deviation (MAD)0
Skewness11.04900475
Sum75902
Variance173.8821069
MonotonicityNot monotonic
2024-01-29T22:31:08.597207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14340
80.7%
31 288
 
1.6%
33 284
 
1.6%
32 193
 
1.1%
30 158
 
0.9%
17 130
 
0.7%
14 121
 
0.7%
15 119
 
0.7%
28 113
 
0.6%
16 107
 
0.6%
Other values (64) 1916
 
10.8%
ValueCountFrequency (%)
0 14340
80.7%
1 64
 
0.4%
2 80
 
0.5%
3 71
 
0.4%
4 88
 
0.5%
ValueCountFrequency (%)
409 1
< 0.1%
378 1
< 0.1%
331 1
< 0.1%
309 2
< 0.1%
307 1
< 0.1%

n_months_last_bought_507c37
Real number (ℝ)

ZEROS 

Distinct462
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.28538466
Minimum0
Maximum785
Zeros8782
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:08.742009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q338
95-th percentile198
Maximum785
Range785
Interquartile range (IQR)38

Descriptive statistics

Standard deviation75.6786368
Coefficient of variation (CV)2.029713184
Kurtosis11.3582179
Mean37.28538466
Median Absolute Deviation (MAD)1
Skewness3.050293682
Sum662524
Variance5727.256068
MonotonicityNot monotonic
2024-01-29T22:31:08.878433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8782
49.4%
8 1750
 
9.8%
13 448
 
2.5%
5 296
 
1.7%
82 208
 
1.2%
50 196
 
1.1%
84 176
 
1.0%
2 167
 
0.9%
1 146
 
0.8%
11 144
 
0.8%
Other values (452) 5456
30.7%
ValueCountFrequency (%)
0 8782
49.4%
1 146
 
0.8%
2 167
 
0.9%
3 76
 
0.4%
4 132
 
0.7%
ValueCountFrequency (%)
785 1
< 0.1%
748 1
< 0.1%
669 1
< 0.1%
638 1
< 0.1%
620 1
< 0.1%

n_months_last_bought_gi
Real number (ℝ)

ZEROS 

Distinct147
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.185435309
Minimum0
Maximum159
Zeros15170
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:09.015580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile48
Maximum159
Range159
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.58438715
Coefficient of variation (CV)3.583958924
Kurtosis19.99551867
Mean5.185435309
Median Absolute Deviation (MAD)0
Skewness4.323058256
Sum92140
Variance345.3794457
MonotonicityNot monotonic
2024-01-29T22:31:09.151988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15170
85.4%
2 187
 
1.1%
3 140
 
0.8%
1 134
 
0.8%
4 111
 
0.6%
9 99
 
0.6%
5 91
 
0.5%
8 85
 
0.5%
6 80
 
0.5%
10 72
 
0.4%
Other values (137) 1600
 
9.0%
ValueCountFrequency (%)
0 15170
85.4%
1 134
 
0.8%
2 187
 
1.1%
3 140
 
0.8%
4 111
 
0.6%
ValueCountFrequency (%)
159 2
< 0.1%
158 2
< 0.1%
157 1
< 0.1%
155 1
< 0.1%
154 2
< 0.1%

f_ever_bought_grp_6fc3e6
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0218920592
Minimum0
Maximum1
Zeros17380
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:09.267924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1463352387
Coefficient of variation (CV)6.684398088
Kurtosis40.71283817
Mean0.0218920592
Median Absolute Deviation (MAD)0
Skewness6.535155372
Sum389
Variance0.02141400208
MonotonicityNot monotonic
2024-01-29T22:31:09.360826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17380
97.8%
1 389
 
2.2%
ValueCountFrequency (%)
0 17380
97.8%
1 389
 
2.2%
ValueCountFrequency (%)
1 389
 
2.2%
0 17380
97.8%

f_ever_bought_grp_de05ae
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003939445101
Minimum0
Maximum1
Zeros17762
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:09.456434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01984468394
Coefficient of variation (CV)50.3743127
Kurtosis2534.142327
Mean0.0003939445101
Median Absolute Deviation (MAD)0
Skewness50.35729436
Sum7
Variance0.0003938114807
MonotonicityNot monotonic
2024-01-29T22:31:09.561230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17762
> 99.9%
1 7
 
< 0.1%
ValueCountFrequency (%)
0 17762
> 99.9%
1 7
 
< 0.1%
ValueCountFrequency (%)
1 7
 
< 0.1%
0 17762
> 99.9%

f_ever_bought_grp_945b5a
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07856379087
Minimum0
Maximum1
Zeros16373
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:09.657353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.269064297
Coefficient of variation (CV)3.424787602
Kurtosis7.816309248
Mean0.07856379087
Median Absolute Deviation (MAD)0
Skewness3.132958584
Sum1396
Variance0.0723955959
MonotonicityNot monotonic
2024-01-29T22:31:09.754631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16373
92.1%
1 1396
 
7.9%
ValueCountFrequency (%)
0 16373
92.1%
1 1396
 
7.9%
ValueCountFrequency (%)
1 1396
 
7.9%
0 16373
92.1%

f_ever_bought_grp_6a5788
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00731611233
Minimum0
Maximum1
Zeros17639
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:09.850924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08522321031
Coefficient of variation (CV)11.64870172
Kurtosis131.7293873
Mean0.00731611233
Median Absolute Deviation (MAD)0
Skewness11.56350122
Sum130
Variance0.007262995576
MonotonicityNot monotonic
2024-01-29T22:31:09.955145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17639
99.3%
1 130
 
0.7%
ValueCountFrequency (%)
0 17639
99.3%
1 130
 
0.7%
ValueCountFrequency (%)
1 130
 
0.7%
0 17639
99.3%

f_ever_bought_ltc_43b9d5
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1854915865
Minimum0
Maximum1
Zeros14473
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:10.059617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3887067802
Coefficient of variation (CV)2.095549387
Kurtosis0.6193264047
Mean0.1854915865
Median Absolute Deviation (MAD)0
Skewness1.618411786
Sum3296
Variance0.151092961
MonotonicityNot monotonic
2024-01-29T22:31:10.164118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 14473
81.5%
1 3296
 
18.5%
ValueCountFrequency (%)
0 14473
81.5%
1 3296
 
18.5%
ValueCountFrequency (%)
1 3296
 
18.5%
0 14473
81.5%

f_ever_bought_grp_9cdedf
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02960211604
Minimum0
Maximum1
Zeros17243
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:10.284801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1694917328
Coefficient of variation (CV)5.725662738
Kurtosis28.82032068
Mean0.02960211604
Median Absolute Deviation (MAD)0
Skewness5.551313071
Sum526
Variance0.02872744749
MonotonicityNot monotonic
2024-01-29T22:31:10.388912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17243
97.0%
1 526
 
3.0%
ValueCountFrequency (%)
0 17243
97.0%
1 526
 
3.0%
ValueCountFrequency (%)
1 526
 
3.0%
0 17243
97.0%

f_ever_bought_grp_1581d7
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1770499184
Minimum0
Maximum1
Zeros14623
Zeros (%)82.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:10.725372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3817216854
Coefficient of variation (CV)2.156011643
Kurtosis0.8638458399
Mean0.1770499184
Median Absolute Deviation (MAD)0
Skewness1.692261393
Sum3146
Variance0.1457114451
MonotonicityNot monotonic
2024-01-29T22:31:10.829823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 14623
82.3%
1 3146
 
17.7%
ValueCountFrequency (%)
0 14623
82.3%
1 3146
 
17.7%
ValueCountFrequency (%)
1 3146
 
17.7%
0 14623
82.3%

f_ever_bought_grp_22decf
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005065000844
Minimum0
Maximum1
Zeros17679
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:10.926324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07099035308
Coefficient of variation (CV)14.01586204
Kurtosis192.4929229
Mean0.005065000844
Median Absolute Deviation (MAD)0
Skewness13.94529515
Sum90
Variance0.00503963023
MonotonicityNot monotonic
2024-01-29T22:31:11.022936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17679
99.5%
1 90
 
0.5%
ValueCountFrequency (%)
0 17679
99.5%
1 90
 
0.5%
ValueCountFrequency (%)
1 90
 
0.5%
0 17679
99.5%

f_ever_bought_lh_507c37
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07957679104
Minimum0
Maximum1
Zeros16355
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:11.119226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2706445042
Coefficient of variation (CV)3.401048228
Kurtosis7.655426448
Mean0.07957679104
Median Absolute Deviation (MAD)0
Skewness3.107179557
Sum1414
Variance0.07324844763
MonotonicityNot monotonic
2024-01-29T22:31:11.215731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16355
92.0%
1 1414
 
8.0%
ValueCountFrequency (%)
0 16355
92.0%
1 1414
 
8.0%
ValueCountFrequency (%)
1 1414
 
8.0%
0 16355
92.0%

f_ever_bought_lh_839f8a
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03731217289
Minimum0
Maximum1
Zeros17106
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:11.318577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1895309902
Coefficient of variation (CV)5.079602059
Kurtosis21.84614774
Mean0.03731217289
Median Absolute Deviation (MAD)0
Skewness4.882999984
Sum663
Variance0.03592199625
MonotonicityNot monotonic
2024-01-29T22:31:11.408708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17106
96.3%
1 663
 
3.7%
ValueCountFrequency (%)
0 17106
96.3%
1 663
 
3.7%
ValueCountFrequency (%)
1 663
 
3.7%
0 17106
96.3%

f_ever_bought_inv_e9f316
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004333389611
Minimum0
Maximum1
Zeros17692
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:11.513233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06568754963
Coefficient of variation (CV)15.15846843
Kurtosis225.834466
Mean0.004333389611
Median Absolute Deviation (MAD)0
Skewness15.09334446
Sum77
Variance0.004314854176
MonotonicityNot monotonic
2024-01-29T22:31:11.609275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17692
99.6%
1 77
 
0.4%
ValueCountFrequency (%)
0 17692
99.6%
1 77
 
0.4%
ValueCountFrequency (%)
1 77
 
0.4%
0 17692
99.6%

f_ever_bought_grp_caa6ff
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04046372897
Minimum0
Maximum1
Zeros17050
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:11.713991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1970497419
Coefficient of variation (CV)4.869787016
Kurtosis19.76155894
Mean0.04046372897
Median Absolute Deviation (MAD)0
Skewness4.664690202
Sum719
Variance0.03882860079
MonotonicityNot monotonic
2024-01-29T22:31:11.811070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17050
96.0%
1 719
 
4.0%
ValueCountFrequency (%)
0 17050
96.0%
1 719
 
4.0%
ValueCountFrequency (%)
1 719
 
4.0%
0 17050
96.0%

f_ever_bought_grp_fd3bfb
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01209972424
Minimum0
Maximum1
Zeros17554
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:11.907625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1093343206
Coefficient of variation (CV)9.036100197
Kurtosis77.68095404
Mean0.01209972424
Median Absolute Deviation (MAD)0
Skewness8.925929118
Sum215
Variance0.01195399366
MonotonicityNot monotonic
2024-01-29T22:31:12.011945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17554
98.8%
1 215
 
1.2%
ValueCountFrequency (%)
0 17554
98.8%
1 215
 
1.2%
ValueCountFrequency (%)
1 215
 
1.2%
0 17554
98.8%

f_ever_bought_lh_e22a6a
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1951150881
Minimum0
Maximum1
Zeros14302
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:12.100445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3963004279
Coefficient of variation (CV)2.031111134
Kurtosis0.3680351201
Mean0.1951150881
Median Absolute Deviation (MAD)0
Skewness1.538828681
Sum3467
Variance0.1570540291
MonotonicityNot monotonic
2024-01-29T22:31:12.204487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 14302
80.5%
1 3467
 
19.5%
ValueCountFrequency (%)
0 14302
80.5%
1 3467
 
19.5%
ValueCountFrequency (%)
1 3467
 
19.5%
0 14302
80.5%

f_ever_bought_grp_70e1dd
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2247734819
Minimum0
Maximum1
Zeros13775
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:12.301602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4174448116
Coefficient of variation (CV)1.857179984
Kurtosis-0.2608668129
Mean0.2247734819
Median Absolute Deviation (MAD)0
Skewness1.318773127
Sum3994
Variance0.1742601707
MonotonicityNot monotonic
2024-01-29T22:31:12.406284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 13775
77.5%
1 3994
 
22.5%
ValueCountFrequency (%)
0 13775
77.5%
1 3994
 
22.5%
ValueCountFrequency (%)
1 3994
 
22.5%
0 13775
77.5%

f_ever_bought_grp_e04c3a
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01024255726
Minimum0
Maximum1
Zeros17587
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:12.510837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1006887175
Coefficient of variation (CV)9.830427593
Kurtosis92.6686282
Mean0.01024255726
Median Absolute Deviation (MAD)0
Skewness9.729244464
Sum182
Variance0.01013821784
MonotonicityNot monotonic
2024-01-29T22:31:12.616599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17587
99.0%
1 182
 
1.0%
ValueCountFrequency (%)
0 17587
99.0%
1 182
 
1.0%
ValueCountFrequency (%)
1 182
 
1.0%
0 17587
99.0%

f_ever_bought_grp_fe5fb8
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.080646069
Minimum0
Maximum1
Zeros16336
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:12.704346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2722984637
Coefficient of variation (CV)3.376462946
Kurtosis7.490025897
Mean0.080646069
Median Absolute Deviation (MAD)0
Skewness3.080451731
Sum1433
Variance0.07414645335
MonotonicityNot monotonic
2024-01-29T22:31:12.808805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16336
91.9%
1 1433
 
8.1%
ValueCountFrequency (%)
0 16336
91.9%
1 1433
 
8.1%
ValueCountFrequency (%)
1 1433
 
8.1%
0 16336
91.9%

f_ever_bought_grp_94baec
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07332995667
Minimum0
Maximum1
Zeros16466
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:12.912836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2606846727
Coefficient of variation (CV)3.55495468
Kurtosis8.718915177
Mean0.07332995667
Median Absolute Deviation (MAD)0
Skewness3.273825565
Sum1303
Variance0.06795649856
MonotonicityNot monotonic
2024-01-29T22:31:13.009215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16466
92.7%
1 1303
 
7.3%
ValueCountFrequency (%)
0 16466
92.7%
1 1303
 
7.3%
ValueCountFrequency (%)
1 1303
 
7.3%
0 16466
92.7%

f_ever_bought_grp_e91421
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01553266926
Minimum0
Maximum1
Zeros17493
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:13.104804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1236619022
Coefficient of variation (CV)7.96140703
Kurtosis59.41326709
Mean0.01553266926
Median Absolute Deviation (MAD)0
Skewness7.836235053
Sum276
Variance0.01529226606
MonotonicityNot monotonic
2024-01-29T22:31:13.209406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17493
98.4%
1 276
 
1.6%
ValueCountFrequency (%)
0 17493
98.4%
1 276
 
1.6%
ValueCountFrequency (%)
1 276
 
1.6%
0 17493
98.4%

f_ever_bought_lh_f852af
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08160279138
Minimum0
Maximum1
Zeros16319
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:13.305072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2737663123
Coefficient of variation (CV)3.354864553
Kurtosis7.345740737
Mean0.08160279138
Median Absolute Deviation (MAD)0
Skewness3.056945198
Sum1450
Variance0.07494799372
MonotonicityNot monotonic
2024-01-29T22:31:13.393463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16319
91.8%
1 1450
 
8.2%
ValueCountFrequency (%)
0 16319
91.8%
1 1450
 
8.2%
ValueCountFrequency (%)
1 1450
 
8.2%
0 16319
91.8%

f_ever_bought_lh_947b15
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08694918116
Minimum0
Maximum1
Zeros16224
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:13.498220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2817685028
Coefficient of variation (CV)3.240611343
Kurtosis6.59839438
Mean0.08694918116
Median Absolute Deviation (MAD)0
Skewness2.932175252
Sum1545
Variance0.07939348914
MonotonicityNot monotonic
2024-01-29T22:31:13.594072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16224
91.3%
1 1545
 
8.7%
ValueCountFrequency (%)
0 16224
91.3%
1 1545
 
8.7%
ValueCountFrequency (%)
1 1545
 
8.7%
0 16224
91.3%

n_months_last_bought_grp_6fc3e6
Real number (ℝ)

ZEROS 

Distinct228
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.503517362
Minimum0
Maximum504
Zeros17277
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:13.722746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum504
Range504
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.0021915
Coefficient of variation (CV)7.328092433
Kurtosis88.23872654
Mean4.503517362
Median Absolute Deviation (MAD)0
Skewness8.947469461
Sum80023
Variance1089.144644
MonotonicityNot monotonic
2024-01-29T22:31:13.859238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17277
97.2%
64 95
 
0.5%
84 26
 
0.1%
309 16
 
0.1%
95 6
 
< 0.1%
31 4
 
< 0.1%
377 4
 
< 0.1%
256 4
 
< 0.1%
173 4
 
< 0.1%
80 4
 
< 0.1%
Other values (218) 329
 
1.9%
ValueCountFrequency (%)
0 17277
97.2%
1 2
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
504 1
< 0.1%
492 1
< 0.1%
489 1
< 0.1%
487 1
< 0.1%
452 2
< 0.1%

n_months_last_bought_grp_de05ae
Real number (ℝ)

SKEWED  ZEROS 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09319601553
Minimum0
Maximum309
Zeros17757
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:13.964093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum309
Range309
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.098528108
Coefficient of variation (CV)43.9775036
Kurtosis3376.518019
Mean0.09319601553
Median Absolute Deviation (MAD)0
Skewness54.49980299
Sum1656
Variance16.79793265
MonotonicityNot monotonic
2024-01-29T22:31:14.060658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 17757
99.9%
84 3
 
< 0.1%
86 2
 
< 0.1%
124 1
 
< 0.1%
195 1
 
< 0.1%
87 1
 
< 0.1%
309 1
 
< 0.1%
265 1
 
< 0.1%
172 1
 
< 0.1%
80 1
 
< 0.1%
ValueCountFrequency (%)
0 17757
99.9%
80 1
 
< 0.1%
84 3
 
< 0.1%
86 2
 
< 0.1%
87 1
 
< 0.1%
ValueCountFrequency (%)
309 1
< 0.1%
265 1
< 0.1%
195 1
< 0.1%
172 1
< 0.1%
124 1
< 0.1%

n_months_last_bought_grp_945b5a
Real number (ℝ)

ZEROS 

Distinct314
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.451066464
Minimum0
Maximum504
Zeros16284
Zeros (%)91.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:14.197386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile37
Maximum504
Range504
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.29105116
Coefficient of variation (CV)4.885898287
Kurtosis41.98915625
Mean8.451066464
Median Absolute Deviation (MAD)0
Skewness6.144227401
Sum150167
Variance1704.950906
MonotonicityNot monotonic
2024-01-29T22:31:14.326169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16284
91.6%
8 244
 
1.4%
84 102
 
0.6%
5 85
 
0.5%
10 26
 
0.1%
1 22
 
0.1%
32 21
 
0.1%
6 21
 
0.1%
178 20
 
0.1%
11 19
 
0.1%
Other values (304) 925
 
5.2%
ValueCountFrequency (%)
0 16284
91.6%
1 22
 
0.1%
2 12
 
0.1%
3 3
 
< 0.1%
4 16
 
0.1%
ValueCountFrequency (%)
504 1
< 0.1%
487 1
< 0.1%
475 1
< 0.1%
467 1
< 0.1%
452 1
< 0.1%

n_months_last_bought_grp_6a5788
Real number (ℝ)

SKEWED  ZEROS 

Distinct64
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6185491586
Minimum0
Maximum409
Zeros17612
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:14.470876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum409
Range409
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.84728974
Coefficient of variation (CV)17.53666557
Kurtosis608.4526736
Mean0.6185491586
Median Absolute Deviation (MAD)0
Skewness23.12848077
Sum10991
Variance117.6636946
MonotonicityNot monotonic
2024-01-29T22:31:14.615414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17612
99.1%
8 36
 
0.2%
5 16
 
0.1%
11 7
 
< 0.1%
68 7
 
< 0.1%
84 6
 
< 0.1%
6 5
 
< 0.1%
2 5
 
< 0.1%
32 4
 
< 0.1%
14 3
 
< 0.1%
Other values (54) 68
 
0.4%
ValueCountFrequency (%)
0 17612
99.1%
1 2
 
< 0.1%
2 5
 
< 0.1%
4 3
 
< 0.1%
5 16
 
0.1%
ValueCountFrequency (%)
409 1
< 0.1%
378 1
< 0.1%
331 1
< 0.1%
319 1
< 0.1%
309 2
< 0.1%

n_months_last_bought_ltc_43b9d5
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.789858743
Minimum0
Maximum35
Zeros14473
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:14.744182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.062651923
Coefficient of variation (CV)2.391290161
Kurtosis3.75519579
Mean3.789858743
Median Absolute Deviation (MAD)0
Skewness2.286793473
Sum67342
Variance82.13165987
MonotonicityNot monotonic
2024-01-29T22:31:14.880240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 14473
81.5%
31 288
 
1.6%
33 284
 
1.6%
32 194
 
1.1%
30 158
 
0.9%
17 128
 
0.7%
15 119
 
0.7%
14 118
 
0.7%
28 113
 
0.6%
18 106
 
0.6%
Other values (26) 1788
 
10.1%
ValueCountFrequency (%)
0 14473
81.5%
1 62
 
0.3%
2 75
 
0.4%
3 71
 
0.4%
4 85
 
0.5%
ValueCountFrequency (%)
35 12
 
0.1%
34 47
 
0.3%
33 284
1.6%
32 194
1.1%
31 288
1.6%

n_months_last_bought_grp_9cdedf
Real number (ℝ)

ZEROS 

Distinct245
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.738252012
Minimum0
Maximum504
Zeros17221
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:15.016340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum504
Range504
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.7755853
Coefficient of variation (CV)7.128279631
Kurtosis82.44028866
Mean4.738252012
Median Absolute Deviation (MAD)0
Skewness8.656606494
Sum84194
Variance1140.790163
MonotonicityNot monotonic
2024-01-29T22:31:15.145295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17221
96.9%
50 52
 
0.3%
84 41
 
0.2%
8 26
 
0.1%
309 15
 
0.1%
81 8
 
< 0.1%
95 6
 
< 0.1%
173 5
 
< 0.1%
87 5
 
< 0.1%
256 5
 
< 0.1%
Other values (235) 385
 
2.2%
ValueCountFrequency (%)
0 17221
96.9%
1 3
 
< 0.1%
2 3
 
< 0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
504 1
< 0.1%
492 1
< 0.1%
489 1
< 0.1%
487 1
< 0.1%
452 2
< 0.1%

n_months_last_bought_grp_1581d7
Real number (ℝ)

ZEROS 

Distinct389
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.41780629
Minimum0
Maximum504
Zeros14399
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:15.281543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile173
Maximum504
Range504
Interquartile range (IQR)0

Descriptive statistics

Standard deviation64.75686274
Coefficient of variation (CV)2.888635128
Kurtosis13.97724803
Mean22.41780629
Median Absolute Deviation (MAD)0
Skewness3.581822371
Sum398342
Variance4193.451272
MonotonicityNot monotonic
2024-01-29T22:31:15.417804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14399
81.0%
8 180
 
1.0%
84 135
 
0.8%
64 114
 
0.6%
12 76
 
0.4%
178 71
 
0.4%
5 70
 
0.4%
37 62
 
0.3%
93 55
 
0.3%
50 54
 
0.3%
Other values (379) 2553
 
14.4%
ValueCountFrequency (%)
0 14399
81.0%
1 32
 
0.2%
2 41
 
0.2%
3 15
 
0.1%
4 33
 
0.2%
ValueCountFrequency (%)
504 1
< 0.1%
493 2
< 0.1%
492 1
< 0.1%
489 1
< 0.1%
487 2
< 0.1%

n_months_last_bought_grp_22decf
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5045303619
Minimum0
Maximum151
Zeros17216
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:15.546895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum151
Range151
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.761404739
Coefficient of variation (CV)9.437300703
Kurtosis332.8564749
Mean0.5045303619
Median Absolute Deviation (MAD)0
Skewness16.47315106
Sum8965
Variance22.67097508
MonotonicityNot monotonic
2024-01-29T22:31:15.683810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17216
96.9%
8 301
 
1.7%
5 49
 
0.3%
20 23
 
0.1%
1 23
 
0.1%
38 13
 
0.1%
11 12
 
0.1%
50 10
 
0.1%
32 9
 
0.1%
10 9
 
0.1%
Other values (42) 104
 
0.6%
ValueCountFrequency (%)
0 17216
96.9%
1 23
 
0.1%
2 6
 
< 0.1%
3 2
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
151 1
 
< 0.1%
129 1
 
< 0.1%
117 1
 
< 0.1%
113 3
< 0.1%
108 1
 
< 0.1%

n_months_last_bought_lh_507c37
Real number (ℝ)

ZEROS 

Distinct259
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.893916371
Minimum0
Maximum424
Zeros16354
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:15.820297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile95
Maximum424
Range424
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.85286625
Coefficient of variation (CV)4.031167458
Kurtosis27.23020425
Mean8.893916371
Median Absolute Deviation (MAD)0
Skewness4.803301784
Sum158036
Variance1285.428018
MonotonicityNot monotonic
2024-01-29T22:31:15.948656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16354
92.0%
3 47
 
0.3%
2 38
 
0.2%
1 28
 
0.2%
94 22
 
0.1%
98 20
 
0.1%
100 20
 
0.1%
97 17
 
0.1%
95 17
 
0.1%
99 16
 
0.1%
Other values (249) 1190
 
6.7%
ValueCountFrequency (%)
0 16354
92.0%
1 28
 
0.2%
2 38
 
0.2%
3 47
 
0.3%
4 12
 
0.1%
ValueCountFrequency (%)
424 2
< 0.1%
412 1
< 0.1%
400 2
< 0.1%
399 1
< 0.1%
389 1
< 0.1%

n_months_last_bought_lh_839f8a
Real number (ℝ)

ZEROS 

Distinct99
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.466655411
Minimum0
Maximum133
Zeros17089
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:16.085491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum133
Range133
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.631105117
Coefficient of variation (CV)5.88488956
Kurtosis57.42200806
Mean1.466655411
Median Absolute Deviation (MAD)0
Skewness7.046762489
Sum26061
Variance74.49597554
MonotonicityNot monotonic
2024-01-29T22:31:16.231209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17089
96.2%
36 43
 
0.2%
37 19
 
0.1%
35 17
 
0.1%
38 16
 
0.1%
42 16
 
0.1%
48 15
 
0.1%
45 15
 
0.1%
44 15
 
0.1%
10 14
 
0.1%
Other values (89) 510
 
2.9%
ValueCountFrequency (%)
0 17089
96.2%
1 5
 
< 0.1%
2 13
 
0.1%
3 9
 
0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
133 1
< 0.1%
127 2
< 0.1%
121 1
< 0.1%
120 1
< 0.1%
119 1
< 0.1%

n_months_last_bought_inv_e9f316
Real number (ℝ)

SKEWED  ZEROS 

Distinct39
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2911812708
Minimum0
Maximum224
Zeros17658
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:16.359306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum224
Range224
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.73539209
Coefficient of variation (CV)19.69698146
Kurtosis562.4351571
Mean0.2911812708
Median Absolute Deviation (MAD)0
Skewness22.88076815
Sum5174
Variance32.89472243
MonotonicityNot monotonic
2024-01-29T22:31:16.495969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 17658
99.4%
5 11
 
0.1%
3 8
 
< 0.1%
2 7
 
< 0.1%
10 7
 
< 0.1%
14 6
 
< 0.1%
1 5
 
< 0.1%
117 5
 
< 0.1%
12 5
 
< 0.1%
115 4
 
< 0.1%
Other values (29) 53
 
0.3%
ValueCountFrequency (%)
0 17658
99.4%
1 5
 
< 0.1%
2 7
 
< 0.1%
3 8
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
224 1
< 0.1%
189 1
< 0.1%
137 1
< 0.1%
133 2
< 0.1%
132 2
< 0.1%

n_months_last_bought_grp_caa6ff
Real number (ℝ)

ZEROS 

Distinct247
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.115594575
Minimum0
Maximum504
Zeros16973
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:16.608373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum504
Range504
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.49087796
Coefficient of variation (CV)5.960378116
Kurtosis70.59107163
Mean5.115594575
Median Absolute Deviation (MAD)0
Skewness7.791253316
Sum90899
Variance929.6936385
MonotonicityNot monotonic
2024-01-29T22:31:16.745424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16973
95.5%
84 85
 
0.5%
50 67
 
0.4%
178 12
 
0.1%
80 10
 
0.1%
37 8
 
< 0.1%
11 8
 
< 0.1%
153 8
 
< 0.1%
101 7
 
< 0.1%
107 7
 
< 0.1%
Other values (237) 584
 
3.3%
ValueCountFrequency (%)
0 16973
95.5%
1 7
 
< 0.1%
2 4
 
< 0.1%
3 3
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
504 1
< 0.1%
475 1
< 0.1%
409 1
< 0.1%
399 1
< 0.1%
397 2
< 0.1%

n_months_last_bought_grp_fd3bfb
Real number (ℝ)

ZEROS 

Distinct140
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.869154145
Minimum0
Maximum504
Zeros17539
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:17.122249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum504
Range504
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.10839713
Coefficient of variation (CV)10.75801971
Kurtosis195.928627
Mean1.869154145
Median Absolute Deviation (MAD)0
Skewness13.21414942
Sum33213
Variance404.3476353
MonotonicityNot monotonic
2024-01-29T22:31:17.259209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17539
98.7%
50 29
 
0.2%
84 23
 
0.1%
256 3
 
< 0.1%
165 3
 
< 0.1%
173 3
 
< 0.1%
80 3
 
< 0.1%
46 3
 
< 0.1%
227 3
 
< 0.1%
243 3
 
< 0.1%
Other values (130) 157
 
0.9%
ValueCountFrequency (%)
0 17539
98.7%
1 1
 
< 0.1%
2 1
 
< 0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
504 1
< 0.1%
409 1
< 0.1%
399 1
< 0.1%
394 2
< 0.1%
379 1
< 0.1%

n_months_last_bought_lh_e22a6a
Real number (ℝ)

ZEROS 

Distinct219
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.39445101
Minimum0
Maximum390
Zeros14302
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:17.388181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile152
Maximum390
Range390
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.46664262
Coefficient of variation (CV)2.298187287
Kurtosis3.867894163
Mean22.39445101
Median Absolute Deviation (MAD)0
Skewness2.236644137
Sum397927
Variance2648.815302
MonotonicityNot monotonic
2024-01-29T22:31:17.541296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14302
80.5%
100 39
 
0.2%
213 39
 
0.2%
82 37
 
0.2%
96 36
 
0.2%
99 36
 
0.2%
130 36
 
0.2%
90 33
 
0.2%
136 33
 
0.2%
101 32
 
0.2%
Other values (209) 3146
 
17.7%
ValueCountFrequency (%)
0 14302
80.5%
1 12
 
0.1%
2 20
 
0.1%
3 9
 
0.1%
4 11
 
0.1%
ValueCountFrequency (%)
390 1
 
< 0.1%
220 7
 
< 0.1%
219 22
0.1%
218 21
0.1%
217 16
0.1%

n_months_last_bought_grp_70e1dd
Real number (ℝ)

ZEROS 

Distinct388
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.30001688
Minimum0
Maximum504
Zeros13085
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:17.681988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile173
Maximum504
Range504
Interquartile range (IQR)5

Descriptive statistics

Standard deviation64.58481662
Coefficient of variation (CV)2.657809537
Kurtosis13.37362824
Mean24.30001688
Median Absolute Deviation (MAD)0
Skewness3.469280706
Sum431787
Variance4171.198537
MonotonicityNot monotonic
2024-01-29T22:31:17.821136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13085
73.6%
8 570
 
3.2%
13 419
 
2.4%
82 236
 
1.3%
50 180
 
1.0%
84 165
 
0.9%
5 125
 
0.7%
12 81
 
0.5%
178 73
 
0.4%
14 73
 
0.4%
Other values (378) 2762
 
15.5%
ValueCountFrequency (%)
0 13085
73.6%
1 56
 
0.3%
2 37
 
0.2%
3 10
 
0.1%
4 70
 
0.4%
ValueCountFrequency (%)
504 1
< 0.1%
493 2
< 0.1%
492 1
< 0.1%
489 1
< 0.1%
487 2
< 0.1%

n_months_last_bought_grp_e04c3a
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7312735663
Minimum0
Maximum166
Zeros17105
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:17.957181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum166
Range166
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.266813635
Coefficient of variation (CV)8.569725372
Kurtosis226.4020388
Mean0.7312735663
Median Absolute Deviation (MAD)0
Skewness13.75700357
Sum12994
Variance39.27295313
MonotonicityNot monotonic
2024-01-29T22:31:18.086651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17105
96.3%
8 345
 
1.9%
5 39
 
0.2%
11 29
 
0.2%
20 27
 
0.2%
1 23
 
0.1%
38 18
 
0.1%
32 13
 
0.1%
81 11
 
0.1%
4 11
 
0.1%
Other values (51) 148
 
0.8%
ValueCountFrequency (%)
0 17105
96.3%
1 23
 
0.1%
2 7
 
< 0.1%
3 2
 
< 0.1%
4 11
 
0.1%
ValueCountFrequency (%)
166 1
 
< 0.1%
164 1
 
< 0.1%
151 1
 
< 0.1%
117 4
< 0.1%
114 1
 
< 0.1%

n_months_last_bought_grp_fe5fb8
Real number (ℝ)

ZEROS 

Distinct102
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.401710845
Minimum0
Maximum166
Zeros14604
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:18.223847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12
Maximum166
Range166
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.75042395
Coefficient of variation (CV)3.748238616
Kurtosis39.76849013
Mean3.401710845
Median Absolute Deviation (MAD)0
Skewness5.862681944
Sum60445
Variance162.5733109
MonotonicityNot monotonic
2024-01-29T22:31:18.354200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14604
82.2%
8 1487
 
8.4%
5 222
 
1.2%
20 106
 
0.6%
11 97
 
0.5%
12 92
 
0.5%
2 86
 
0.5%
6 78
 
0.4%
4 78
 
0.4%
56 76
 
0.4%
Other values (92) 843
 
4.7%
ValueCountFrequency (%)
0 14604
82.2%
1 70
 
0.4%
2 86
 
0.5%
3 14
 
0.1%
4 78
 
0.4%
ValueCountFrequency (%)
166 1
 
< 0.1%
165 3
< 0.1%
151 1
 
< 0.1%
132 3
< 0.1%
117 5
< 0.1%

n_months_last_bought_grp_94baec
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.384152175
Minimum0
Maximum166
Zeros15323
Zeros (%)86.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:18.514454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum166
Range166
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.27128033
Coefficient of variation (CV)4.308147958
Kurtosis59.50161404
Mean2.384152175
Median Absolute Deviation (MAD)0
Skewness7.066755268
Sum42364
Variance105.4991995
MonotonicityNot monotonic
2024-01-29T22:31:18.659844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15323
86.2%
8 1168
 
6.6%
5 174
 
1.0%
11 87
 
0.5%
1 72
 
0.4%
20 68
 
0.4%
6 66
 
0.4%
14 62
 
0.3%
50 58
 
0.3%
38 55
 
0.3%
Other values (90) 636
 
3.6%
ValueCountFrequency (%)
0 15323
86.2%
1 72
 
0.4%
2 53
 
0.3%
3 14
 
0.1%
4 52
 
0.3%
ValueCountFrequency (%)
166 2
< 0.1%
151 1
 
< 0.1%
129 1
 
< 0.1%
117 3
< 0.1%
116 2
< 0.1%

n_months_last_bought_grp_e91421
Real number (ℝ)

ZEROS 

Distinct184
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.872699645
Minimum0
Maximum504
Zeros17468
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:18.804305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum504
Range504
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.47384304
Coefficient of variation (CV)9.215666903
Kurtosis128.3546275
Mean2.872699645
Median Absolute Deviation (MAD)0
Skewness10.83188749
Sum51045
Variance700.8643655
MonotonicityNot monotonic
2024-01-29T22:31:18.957136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17468
98.3%
84 26
 
0.1%
8 18
 
0.1%
309 10
 
0.1%
95 6
 
< 0.1%
87 4
 
< 0.1%
227 4
 
< 0.1%
256 4
 
< 0.1%
158 3
 
< 0.1%
173 3
 
< 0.1%
Other values (174) 223
 
1.3%
ValueCountFrequency (%)
0 17468
98.3%
1 1
 
< 0.1%
2 1
 
< 0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
504 1
< 0.1%
452 1
< 0.1%
449 1
< 0.1%
426 1
< 0.1%
409 1
< 0.1%

n_months_last_bought_lh_f852af
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.725870899
Minimum0
Maximum80
Zeros16319
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:19.093592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile23
Maximum80
Range80
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.11036008
Coefficient of variation (CV)4.075893721
Kurtosis20.61779314
Mean2.725870899
Median Absolute Deviation (MAD)0
Skewness4.533724456
Sum48436
Variance123.4401011
MonotonicityNot monotonic
2024-01-29T22:31:19.230599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16319
91.8%
11 54
 
0.3%
10 42
 
0.2%
9 39
 
0.2%
12 37
 
0.2%
8 32
 
0.2%
47 32
 
0.2%
44 30
 
0.2%
49 29
 
0.2%
2 29
 
0.2%
Other values (71) 1126
 
6.3%
ValueCountFrequency (%)
0 16319
91.8%
1 29
 
0.2%
2 29
 
0.2%
3 29
 
0.2%
4 28
 
0.2%
ValueCountFrequency (%)
80 1
 
< 0.1%
79 2
 
< 0.1%
78 9
0.1%
77 6
< 0.1%
76 12
0.1%

n_months_last_bought_lh_947b15
Real number (ℝ)

ZEROS 

Distinct341
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.1933142
Minimum0
Maximum785
Zeros16219
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:19.375571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile47
Maximum785
Range785
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.67305382
Coefficient of variation (CV)4.971204933
Kurtosis54.3300752
Mean10.1933142
Median Absolute Deviation (MAD)0
Skewness6.868995505
Sum181125
Variance2567.758384
MonotonicityNot monotonic
2024-01-29T22:31:19.521097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16219
91.3%
36 33
 
0.2%
42 27
 
0.2%
48 25
 
0.1%
37 24
 
0.1%
20 23
 
0.1%
45 22
 
0.1%
35 22
 
0.1%
38 22
 
0.1%
49 20
 
0.1%
Other values (331) 1332
 
7.5%
ValueCountFrequency (%)
0 16219
91.3%
1 9
 
0.1%
2 9
 
0.1%
3 6
 
< 0.1%
4 5
 
< 0.1%
ValueCountFrequency (%)
785 1
< 0.1%
748 1
< 0.1%
669 1
< 0.1%
638 1
< 0.1%
620 1
< 0.1%

n_months_last_bought_32c74c
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.57960493
Minimum0
Maximum43
Zeros16424
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:19.649630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile35
Maximum43
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.222137445
Coefficient of variation (CV)3.575019313
Kurtosis9.545024046
Mean2.57960493
Median Absolute Deviation (MAD)0
Skewness3.371764129
Sum45837
Variance85.04781905
MonotonicityNot monotonic
2024-01-29T22:31:19.777843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 16424
92.4%
38 199
 
1.1%
37 167
 
0.9%
35 163
 
0.9%
36 152
 
0.9%
39 141
 
0.8%
34 113
 
0.6%
33 81
 
0.5%
32 55
 
0.3%
40 46
 
0.3%
Other values (31) 228
 
1.3%
ValueCountFrequency (%)
0 16424
92.4%
2 3
 
< 0.1%
4 2
 
< 0.1%
5 4
 
< 0.1%
6 8
 
< 0.1%
ValueCountFrequency (%)
43 2
 
< 0.1%
42 5
 
< 0.1%
41 42
 
0.2%
40 46
 
0.3%
39 141
0.8%

f_elx
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2323147054
Minimum0
Maximum1
Zeros13641
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:19.873978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4223205186
Coefficient of variation (CV)1.817881128
Kurtosis-0.3926499068
Mean0.2323147054
Median Absolute Deviation (MAD)0
Skewness1.267830549
Sum4128
Variance0.1783546205
MonotonicityNot monotonic
2024-01-29T22:31:19.986374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 13641
76.8%
1 4128
 
23.2%
ValueCountFrequency (%)
0 13641
76.8%
1 4128
 
23.2%
ValueCountFrequency (%)
1 4128
 
23.2%
0 13641
76.8%

f_mindef_mha
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1417637458
Minimum0
Maximum1
Zeros15250
Zeros (%)85.8%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:20.091067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3488174791
Coefficient of variation (CV)2.460554897
Kurtosis2.220132325
Mean0.1417637458
Median Absolute Deviation (MAD)0
Skewness2.054235247
Sum2519
Variance0.1216736337
MonotonicityNot monotonic
2024-01-29T22:31:20.195302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 15250
85.8%
1 2519
 
14.2%
ValueCountFrequency (%)
0 15250
85.8%
1 2519
 
14.2%
ValueCountFrequency (%)
1 2519
 
14.2%
0 15250
85.8%

f_retail
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7548539591
Minimum0
Maximum1
Zeros4356
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:20.285148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4301858601
Coefficient of variation (CV)0.5698928315
Kurtosis-0.5958693466
Mean0.7548539591
Median Absolute Deviation (MAD)0
Skewness-1.184988496
Sum13413
Variance0.1850598743
MonotonicityNot monotonic
2024-01-29T22:31:20.397578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 13413
75.5%
0 4356
 
24.5%
ValueCountFrequency (%)
0 4356
 
24.5%
1 13413
75.5%
ValueCountFrequency (%)
1 13413
75.5%
0 4356
 
24.5%

flg_affconnect_show_interest_ever
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02763239349
Minimum0
Maximum1
Zeros17278
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:20.502665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1639218
Coefficient of variation (CV)5.932233126
Kurtosis31.22695088
Mean0.02763239349
Median Absolute Deviation (MAD)0
Skewness5.763977457
Sum491
Variance0.02687035653
MonotonicityNot monotonic
2024-01-29T22:31:20.606366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17278
97.2%
1 491
 
2.8%
ValueCountFrequency (%)
0 17278
97.2%
1 491
 
2.8%
ValueCountFrequency (%)
1 491
 
2.8%
0 17278
97.2%

flg_affconnect_ready_to_buy_ever
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04541617424
Minimum0
Maximum1
Zeros16962
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:20.702551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2082210012
Coefficient of variation (CV)4.584732305
Kurtosis17.07130524
Mean0.04541617424
Median Absolute Deviation (MAD)0
Skewness4.366850557
Sum807
Variance0.04335598533
MonotonicityNot monotonic
2024-01-29T22:31:20.799406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16962
95.5%
1 807
 
4.5%
ValueCountFrequency (%)
0 16962
95.5%
1 807
 
4.5%
ValueCountFrequency (%)
1 807
 
4.5%
0 16962
95.5%

n_months_since_visit_affcon
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09792334965
Minimum0
Maximum5
Zeros17180
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:20.903919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5834084788
Coefficient of variation (CV)5.957807621
Kurtosis42.45547322
Mean0.09792334965
Median Absolute Deviation (MAD)0
Skewness6.456290666
Sum1740
Variance0.3403654532
MonotonicityNot monotonic
2024-01-29T22:31:21.008133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 17180
96.7%
4 166
 
0.9%
1 126
 
0.7%
3 122
 
0.7%
2 97
 
0.5%
5 78
 
0.4%
ValueCountFrequency (%)
0 17180
96.7%
1 126
 
0.7%
2 97
 
0.5%
3 122
 
0.7%
4 166
 
0.9%
ValueCountFrequency (%)
5 78
0.4%
4 166
0.9%
3 122
0.7%
2 97
0.5%
1 126
0.7%

flg_hlthclaim_839f8a_ever
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01603916934
Minimum0
Maximum1
Zeros17484
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:21.104451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1256296247
Coefficient of variation (CV)7.832676497
Kurtosis57.38015155
Mean0.01603916934
Median Absolute Deviation (MAD)0
Skewness7.705432701
Sum285
Variance0.01578280261
MonotonicityNot monotonic
2024-01-29T22:31:21.200550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17484
98.4%
1 285
 
1.6%
ValueCountFrequency (%)
0 17484
98.4%
1 285
 
1.6%
ValueCountFrequency (%)
1 285
 
1.6%
0 17484
98.4%

flg_hlthclaim_14cb37_ever
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07721312398
Minimum0
Maximum1
Zeros16397
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:21.304830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2669368232
Coefficient of variation (CV)3.457143156
Kurtosis8.03743914
Mean0.07721312398
Median Absolute Deviation (MAD)0
Skewness3.168049004
Sum1372
Variance0.07125526755
MonotonicityNot monotonic
2024-01-29T22:31:21.402927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 16397
92.3%
1 1372
 
7.7%
ValueCountFrequency (%)
0 16397
92.3%
1 1372
 
7.7%
ValueCountFrequency (%)
1 1372
 
7.7%
0 16397
92.3%

f_purchase_lh
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03995722888
Minimum0
Maximum1
Zeros17059
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size138.9 KiB
2024-01-29T22:31:21.498102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1958642584
Coefficient of variation (CV)4.901847898
Kurtosis20.07436673
Mean0.03995722888
Median Absolute Deviation (MAD)0
Skewness4.698096131
Sum710
Variance0.03836280772
MonotonicityNot monotonic
2024-01-29T22:31:21.611312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 17059
96.0%
1 710
 
4.0%
ValueCountFrequency (%)
0 17059
96.0%
1 710
 
4.0%
ValueCountFrequency (%)
1 710
 
4.0%
0 17059
96.0%